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Product Operations Lead, Generative AI
Scale's Generative AI business unit is at the front of the industry, fueling the development of frontier AI models. As a Product Operations Manager, you will build and support the critical processes and platforms that drive our daily operations. This multi-faceted role requires a unique blend of product, operations, and analytics as we architect the future of the business. Success in this role requires the ability to translate complex requirements between technical teams and operational stakeholders, and to earn the trust of both to influence the direction of Scale’s products. You will own the ops product connection and lead our highest priority initiatives. You will: - Own the connection between Operations and Product. Surfacing the needs of operators across the GenAI business, building the case for what should be built next, and shaping a product roadmap grounded in the reality of running frontier data projects - Modernize operations tooling with agents. Identify which processes should be managed by agents, partner with engineering to connect tools, hillclimb the agents through evals, and redesign the workflows around them - Drive our highest-priority, operations-intensive initiatives end to end, from planning through execution and adoption across the organization - Partner with Product and Engineering leads to define success metrics, track how initiatives are performing, and make data-driven decisions - Be the voice of the operator across Scale’s Product and Engineering teams. Provide operator context, early feedback on features, and connect with the right stakeholders to build successful products - Leverage data analytics tools (SQL, Python, coding agents) to quantify the impact of operational problems, inform prioritization, and measure whether what we ship actually works Ideally, you'd have: - 4+ years of experience in Product Operations, Technical Program Management, Strategy & Operations, or delivery operations within high-growth tech environments; the ideal candidate will have 6+ months of experience delivering GenAI data pipelines - A strong product sense and ability to prioritize the highest leverage initiatives - A cross-functional operator: proven ability to understand a customer's underlying need, separate it from the stated request, and influence Product, Engineering, and Ops partners without direct authority - Familiarity with the GenAI data business: how projects are staffed, run, and delivered, and where operators feel friction day to day - Strong technical background (a degree in computer science or STEM is ideal, and at minimum, the role requires the ability to perform independent data analytics using SQL or Python) - Proven ability to communicate complex technical concepts to non-technical stakeholders and translate operational "friction" into engineering solutions - An entrepreneurial and high-ownership mindset: you are comfortable building 0-to-1 processes, handling ambiguity, and driving workstreams from conception to execution - Bias for lightweight structure and doing: you build well designed processes people actually use and know when not to add more Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $180,800 - $226,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Applied AI Engineer
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As a member of the Applied AI team at Anthropic, you will be a technical Product Engineer focused on becoming a trusted technical advisor to customers as they adopt Claude. You will work closely with customer product and engineering teams as they ship new products powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding customers through the most cutting edge implementation patterns for LLMs. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers understand the potential of working with LLMs and build innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. Responsibilities: - Serve as a technical advisor to Anthropic customers as they deploy new products & workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success - Partner with account executives to deeply understand customer product requirements and architect technical solutions, ensuring alignment between business objectives and technical implementation - Guide technical architecture decisions and help customers build state-of-the-art products & workflows with LLMs via API - Develop customized pilots, prototypes, and evaluation suites that make the case for customer deployment of our models into customer products and workflows via our API - Lead hands-on technical workshops and code reviews with customer engineering teams - Identify common design patterns and contribute insights back to our Product and Engineering teams - Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks - Travel occasionally to customer sites for workshops, implementation support, and building relationships - Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space You may be a good fit if you have: - 8+ years of experience in a technical roles such as Customer Engineer, Forward Deployed Engineer or Software Engineer with a desire to work closely with customers - Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale - Strong programming skills with proficiency in Python and experience building production applications - Expertise working with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks. - Ability to navigate ambiguity and execute across domains with intellectual openness , finding simple solutions to complex problems - High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity - Passion for advancing safe, beneficial AI systems through creative technical applications - Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Applied AI Architects, Partner
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Key Responsibilities - Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. - Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment - Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. - Partner Ecosystem & Events : Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. - Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. Preferred qualifications - 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager - Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more - Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Familiarity with common LLM frameworks and tools or a background in machine learning or data science - Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - A love of teaching, mentoring, and helping others succeed - Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems - Fluent in Korean and English Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Staff Data Scientist
About the Team: Grindr is an AI-native platform powering how millions of gay people connect globally. With 15M+ monthly users, 130B+ annual messages, and a team of fewer than 200, we move fast, stay lean, and tackle technical problems at a scale few companies ever see. As a Staff Data Scientist at Grindr, you will be working closely with product managers, product designers, and engineers to devise insightful metrics that guide development, design and execute novel experiments, present a data-driven viewpoint to guide key decisions, and find new avenues to drive growth through deep dive analysis. You will have the opportunity to work on models that are deployed to production and improve quality of life for our millions of users. You will also be an informal ambassador for the Data Science team to the rest of the organization, educating a diverse group on the many subtle aspects of utilizing data well. You will be a member of the data organization at Grindr, which integrates data scientists, data engineers, and ML/AI engineers into a single cohesive and collaborative team. This is a rare opportunity to learn, teach, and have an outsized impact alongside some of the top minds in the field. At Grindr, we operate in Grindr Mode. Moderately hardcore day to day, truly hardcore when it counts. It’s about doing great work without burning out. Outcomes over outputs. Smart, driven people who raise your bar, with room to live full lives. This is a hybrid role based in our Bay Area, Los Angeles, or Chicago offices and will require you to be in office Tuesdays and Thursdays. About the Job: - Extract actionable insights from broad, open-ended questions - Design and evaluate experiments to measure the impact of product changes - Analyze data from across the product to uncover the root causes of metric movements - Communicate results to cross-functional stakeholders to inform product decisions - Develop tools to scale and automate analyses, improving productivity across the company - Provide mentorship and guidance to team members + identify and recommend best practices - Apply an engineering mindset: minimize complexity while maximizing utility & maintainability - Be part of building our future state, devising ML solutions to improve recommendations, detect spam, and better serve our users Role Requirements: - BS or higher in Computer Science, Statistics, Mathematics, Physics, a related quantitative field, or equivalent experience - 7+ years of industry data science experience - Experience effectively communicating & collaborating with non-technical stakeholders - A deep understanding of the “why” behind your work, not just the how - Strong Python skills in data analysis using pandas and Jupyter Notebook - Experience writing and optimizing complex SQL queries on large data sets - A strong background in inferential statistics, especially in an experimentation setting (hypothesis testing, power analysis, experimental design) - Experience with different data analytics and BI tools such as Looker, Tableau, PowerBI, or Snowflake - Experience in big data technologies like Spark You May Thrive in this Role if You: - A machine learning background with an understanding of when ML is the right tool and the subtle science of creating models that function well in the real world would be a nice to have - You have excellent communication, presentation, and documentation skills with the ability to define and communicate the “big picture” to key stakeholders at various levels and technical understanding - Experience with Statsig would be nice-to-have Benefits and Perks: - Health, Dental & Vision Full premium coverage for you. Partial coverage for dependents. - Family Formation Up to $300,000 in fertility and family-building support, covering IVF, surrogacy, egg freezing, and adoption. - Retirement: 401(k) with 6% match and immediate vesting. - Compensation: Industry-competitive compensation, company bonus, and equity for every employee. - Gender-Affirming Care : Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more. - Time Off & Rest Flexible vacation policy. Two company-wide rest weeks per year. - Other Benefits: Monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast/lunch About Grindr: Grindr is building the Global Gayborhood in your Pocket. With more than 15 million monthly active users, Grindr has become a fundamental part of the gay community and is charting a path to make the world more free, equal, and just. As a public company, we're moving into the next chapter: becoming an AI-native organization that's redefining what's possible for our community. We're embedding AI into our product and operations, moving with startup speed while operating at scale. Everything we do is rooted in impact for our users and outcomes for the business. This isn't social work, it’s impact through excellence. Business success is what gives us the power to serve our community and the seat at tables others can't reach. How we work is defined by Grindr Mode, our operating model that's moderately hardcore day-to-day and truly hardcore when it counts. We think like owners, drive real outcomes, create clarity through action, and push each other to go further than we thought possible. We’re headquartered in West Hollywood with offices in the Bay Area, Chicago, and New York. Our work extends beyond the product through Grindr for Equality, our social impact initiative that's partnered with 100+ community organizations globally to advance safety, health, and human rights for LGBTQ+ people worldwide. We're profitable, growing, and building a team of smart, driven people who bring different backgrounds, experiences, and perspectives to the work. Want to build technology at a massive scale that serves millions? Come join us! Grindr is an equal-opportunity employer. To learn more about how we handle the personal data of applicants, visit our Employee and Candidate Privacy Policy https://www.grindr.com/privacy-policy/applicant-privacy-policy/.
Senior Staff Data Scientist
About the Team: Grindr is an AI-native platform powering how millions of gay people connect globally. With 15M+ monthly users, 130B+ annual messages, and a team of fewer than 200, we move fast, stay lean, and tackle technical problems at a scale few companies ever see. As a Senior Staff Data Scientist at Grindr, you will lead cross-functional collaboration with product managers, product designers, and engineers to devise insightful metrics that guide development, shape and oversee novel experiments, present a data-driven viewpoint to guide key decisions, and identify and drive new strategic avenues for growth through deep dive analysis. You will have the opportunity to work on models that are deployed to production and improve quality of life for our millions of users. You will also be an informal ambassador for the Data Science team to the rest of the organization, educating a diverse group on the many subtle aspects of utilizing data well. You will be a member of the data organization at Grindr, which integrates data scientists, data engineers, and ML/AI engineers into a single cohesive and collaborative team. This is a rare opportunity to learn, teach, and have an outsized impact alongside some of the top minds in the field. At Grindr, we operate in Grindr Mode. Moderately hardcore day to day, truly hardcore when it counts. It’s about doing great work without burning out. Outcomes over outputs. Smart, driven people who raise your bar, with room to live full lives. This is a hybrid role based in our Bay Area offices and will require you to be in office Tuesdays and Thursdays. About the Job: - Extract actionable insights from broad, open-ended questions - Set strategy for designing and evaluating experiments to measure the impact of product changes - Influence and communicate results to executives and cross-functional stakeholders to inform product and company decisions - Analyze data from across the product to uncover the root causes of metric movements - Communicate results to cross-functional stakeholders to inform product decisions - Architect and guide development of tools to scale and automate analyses, improving productivity across the company - Provide mentorship and guidance to team members + identify and recommend best practices - Apply an engineering mindset: minimize complexity while maximizing utility & maintainability - Shape the future state of our data products, devising ML solutions to improve recommendations, detect spam, and better serve our users Role Requirements: - BS or higher in Computer Science, Statistics, Mathematics, Physics, a related quantitative field, or equivalent experience - 10+ years of industry data science experience, with a track record of influencing senior stakeholders and company-level outcomes - Experience effectively communicating & collaborating with non-technical stakeholders - A deep understanding of the “why” behind your work, not just the how - Strong Python skills in data analysis using pandas and Jupyter Notebook - Experience writing and optimizing complex SQL queries on large data sets - A strong background in inferential statistics, especially in an experimentation setting (hypothesis testing, power analysis, experimental design) - Experience with different data analytics and BI tools such as Looker, Tableau, PowerBI, or Snowflake - Experience in big data technologies like Spark You May Thrive in this Role if You: - A machine learning background with an understanding of when ML is the right tool and the subtle science of creating models that function well in the real world would be a nice to have - You have excellent communication, presentation, and documentation skills with the ability to define and communicate the “big picture” to key stakeholders at various levels and technical understanding - Experience with Statsig would be nice-to-have Benefits and Perks: - Health, Dental & Vision Full premium coverage for you. Partial coverage for dependents. - Family Formation Up to $300,000 in fertility and family-building support, covering IVF, surrogacy, egg freezing, and adoption. - Retirement: 401(k) with 6% match and immediate vesting. - Compensation: Industry-competitive compensation, company bonus, and equity for every employee. - Gender-Affirming Care : Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more. - Time Off & Rest Flexible vacation policy. Two company-wide rest weeks per year. - Other Benefits: Monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast/lunch About Grindr: Grindr is building the Global Gayborhood in your Pocket. With more than 15 million monthly active users, Grindr has become a fundamental part of the gay community and is charting a path to make the world more free, equal, and just. As a public company, we're moving into the next chapter: becoming an AI-native organization that's redefining what's possible for our community. We're embedding AI into our product and operations, moving with startup speed while operating at scale. Everything we do is rooted in impact for our users and outcomes for the business. This isn't social work, it’s impact through excellence. Business success is what gives us the power to serve our community and the seat at tables others can't reach. How we work is defined by Grindr Mode, our operating model that's moderately hardcore day-to-day and truly hardcore when it counts. We think like owners, drive real outcomes, create clarity through action, and push each other to go further than we thought possible. We’re headquartered in West Hollywood with offices in the Bay Area, Chicago, and New York. Our work extends beyond the product through Grindr for Equality, our social impact initiative that's partnered with 100+ community organizations globally to advance safety, health, and human rights for LGBTQ+ people worldwide. We're profitable, growing, and building a team of smart, driven people who bring different backgrounds, experiences, and perspectives to the work. Want to build technology at a massive scale that serves millions? Come join us! Grindr is an equal-opportunity employer. To learn more about how we handle the personal data of applicants, visit our Employee and Candidate Privacy Policy https://www.grindr.com/privacy-policy/applicant-privacy-policy/.
Staff ML Engineer
About the Team: Grindr is an AI-native platform powering how millions of gay people connect globally. With 15M+ monthly users, 130B+ annual messages, and a team of fewer than 200, we move fast, stay lean, and tackle technical problems at a scale few companies ever see. At Grindr, we’re at the dawn of an AI-driven evolution, and you’ll be a key player helping to shape it. This is your chance to harness cutting-edge machine learning to redefine how millions of people in the LGBTQ+ community around the world connect —whether it’s an entertaining chat, a casual encounter or long-term relationship. We’re doubling down on ML as the future of Grindr, and in these early days, your work will leave a mark on a one-of-a-kind platform at global scale. - Early-Stage Impact: It's still early days for ML at Grindr, so you'll be joining a focused team surrounded by high-impact, greenfield work, setting the stage for our long term ML strategy. - Recommendations That Reshape: Build systems that match millions to their next big moment, adapting to a range of intents with impact you can feel. - Conversations That Connect: Use LLMs to uncover insights, and help users find their spark with precision and flair. At Grindr, we operate in Grindr Mode. Moderately hardcore day to day, truly hardcore when it counts. It’s about doing great work without burning out. Outcomes over outputs. Smart, driven people who raise your bar, with room to live full lives. This is a hybrid role based in our San Francisco or Palo Alto offices (Palo Alto preferred) and will require you to be in the office on Tuesdays and Thursdays. About the Job: - Architect scalable recommendation systems to serve millions, balancing performance and innovation. - Leverage the latest LLMs to process vast conversation data and enhance user connections. - Prototype, iterate, and ship production-ready ML solutions that solve real problems for our user. - Collaborate cross-functionally with engineering, data science and product teams to turn bold ideas into tangible results. - Drive the exploration of emerging AI tools and techniques to keep Grindr’s tech stack ahead of the curve. Role Requirements: - 7+ years of experience building ML systems with a focus on 0-to-1 system development and creating new capabilities from scratch. Experience with recommendation systems or similar is a plus. - Proven ability to deliver at scale, with fluency in Python and popular ML frameworks. - A scrappy mindset—you tackle messy challenges head-on and get real results. - Experience using data and deployment technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, PySpark) - Experience building machine/deep learning models with at least one common framework such as PyTorch, Tensorflow, or Keras. - Experience with any public cloud environment - AWS, GCP or Databricks. You May Thrive in this Role if You: - Expertise in building and maintaining LLM workflows for nuanced, human-driven tasks. - A track record of crafting recommendation systems that hit the mark for diverse user needs. - Thrives in a fast-paced, outcome-driven environment with lots of cross-functional collaboration. - A proven history of taking product ownership and thoughtfully addressing the unique needs of a specific user group, from early-stage concept to full-scale rollout. Benefits and Perks: - Health, Dental & Vision Full premium coverage for you. Partial coverage for dependents. - Family Formation Up to $300,000 in fertility and family-building support, covering IVF, surrogacy, egg freezing, and adoption. - Retirement: 401(k) with 6% match and immediate vesting. - Compensation: Industry-competitive compensation, company bonus, and equity for every employee. - Gender-Affirming Care : Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more. - Time Off & Rest Flexible vacation policy. Two company-wide rest weeks per year. - Other Benefits: Monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast/lunch About Grindr: Grindr is building the Global Gayborhood in your Pocket. With more than 15 million monthly active users, Grindr has become a fundamental part of the gay community and is charting a path to make the world more free, equal, and just. As a public company, we're moving into the next chapter: becoming an AI-native organization that's redefining what's possible for our community. We're embedding AI into our product and operations, moving with startup speed while operating at scale. Everything we do is rooted in impact for our users and outcomes for the business. This isn't social work, it’s impact through excellence. Business success is what gives us the power to serve our community and the seat at tables others can't reach. How we work is defined by Grindr Mode, our operating model that's moderately hardcore day-to-day and truly hardcore when it counts. We think like owners, drive real outcomes, create clarity through action, and push each other to go further than we thought possible. We’re headquartered in West Hollywood with offices in the Bay Area, Chicago, and New York. Our work extends beyond the product through Grindr for Equality, our social impact initiative that's partnered with 100+ community organizations globally to advance safety, health, and human rights for LGBTQ+ people worldwide. We're profitable, growing, and building a team of smart, driven people who bring different backgrounds, experiences, and perspectives to the work. Want to build technology at a massive scale that serves millions? Come join us! Grindr is an equal-opportunity employer. To learn more about how we handle the personal data of applicants, visit our Employee and Candidate Privacy Policy https://www.grindr.com/privacy-policy/applicant-privacy-policy/.
Senior Staff MLOps Engineer
About the Team: Grindr is an AI-native platform powering how millions of gay people connect globally. With 15M+ monthly users, 130B+ annual messages, and a team of fewer than 200, we move fast, stay lean, and tackle technical problems at a scale few companies ever see. We at Grindr believe that AI can revolutionize the dating industry. As a Staff MLOps Engineer, you will build and own the infrastructure, tooling, and scalable systems that make high-impact AI possible. You’ll architect and maintain the platforms that power data ingestion, feature computation, model training, automated evaluation, deployment, and ongoing monitoring for the ML teams building recommendations, LLM-based experiences, ads, visual search, growth, and trust & safety. You will design foundational systems that allow our ML engineers to experiment faster, ship models more reliably, and operate them with confidence in production. At Grindr, we operate in Grindr Mode. Moderately hardcore day to day, truly hardcore when it counts. It’s about doing great work without burning out. Outcomes over outputs. Smart, driven people who raise your bar, with room to live full lives. This is a hybrid role based in our Bay Area (SF or Palo Alto) or our Chicago offices and will require you to be in office Tuesdays and Thursdays. About the Job: - Build and maintain end-to-end ML pipelines for data ingestion, feature computation, model training, validation, deployment, and inference, all at substantial scale of data - Stand up and manage a feature store, ensuring feature consistency, lineage, and reuse across teams. - Expertise with best in class tools for managing deployment, scheduling, and environments and how to use them in the specialized regime of ML Infrastructure. - Develop automated model deployment workflows with CI/CD, safe rollout strategies, and reproducibility guarantees. - Implement monitoring and observability for ML systems, including data quality checks, drift detection, performance metrics, and alerting. - Build and support training environments with experiment tracking, distributed training, hyperparameter tuning, and artifact and environment management. - Collaborate with ML engineers and data engineers to streamline workflows, improve model iteration speed, and enforce MLOps best practices. - Ensure reliability, scalability, and maintainability of ML systems through strong engineering and operational rigor. Role Requirements: - Bachelor’s degree in CS, Engineering, Mathematics, or related field. - 5+ years experience in MLOps, ML platform engineering, ML infrastructure, or similar roles. - Strong experience building production ML pipelines and supporting end-to-end ML workflows. - Excellent engineering fundamentals: Python, SQL, bash, Git. - Experience with big data and distributed compute: Snowflake, Spark/pySpark, Airflow, Kubernetes, Docker, Helm. - Experience with ML frameworks (PyTorch, TensorFlow) sufficient to support training pipelines and deployment workflows. - Strong understanding of cloud platforms (AWS, GCP, or Azure). - Ability to produce well-engineered, maintainable software with tests, documentation, and operational rigor. - Experience with data quality frameworks, observability tooling, or experiment tracking systems. You May Thrive in this Role if You: - Experience implementing full model lifecycle management (from data → training → deployment → monitoring). - Experience with vector databases, embeddings pipelines, or retrieval systems. - Familiarity with NLP/LLM-based data pipelines or image/vision data workflows. - Experience with recommendation system infrastructure. - Strong grasp of classical ML concepts as they relate to platform design. - Knowledge of data governance, compliance, retention, and classification. - Track record of partnering with research/ML teams to operationalize models at scale. Benefits and Perks: - Health, Dental & Vision Full premium coverage for you. Partial coverage for dependents. - Family Formation Up to $300,000 in fertility and family-building support, covering IVF, surrogacy, egg freezing, and adoption. - Retirement: 401(k) with 6% match and immediate vesting. - Compensation: Industry-competitive compensation, company bonus, and equity for every employee. - Gender-Affirming Care : Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more. - Time Off & Rest Flexible vacation policy. Two company-wide rest weeks per year. - Other Benefits: Monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast/lunch About Grindr: Grindr is building the Global Gayborhood in your Pocket. With more than 15 million monthly active users, Grindr has become a fundamental part of the gay community and is charting a path to make the world more free, equal, and just. As a public company, we're moving into the next chapter: becoming an AI-native organization that's redefining what's possible for our community. We're embedding AI into our product and operations, moving with startup speed while operating at scale. Everything we do is rooted in impact for our users and outcomes for the business. This isn't social work, it’s impact through excellence. Business success is what gives us the power to serve our community and the seat at tables others can't reach. How we work is defined by Grindr Mode, our operating model that's moderately hardcore day-to-day and truly hardcore when it counts. We think like owners, drive real outcomes, create clarity through action, and push each other to go further than we thought possible. We’re headquartered in West Hollywood with offices in the Bay Area, Chicago, and New York. Our work extends beyond the product through Grindr for Equality, our social impact initiative that's partnered with 100+ community organizations globally to advance safety, health, and human rights for LGBTQ+ people worldwide. We're profitable, growing, and building a team of smart, driven people who bring different backgrounds, experiences, and perspectives to the work. Want to build technology at a massive scale that serves millions? Come join us! Grindr is an equal-opportunity employer. To learn more about how we handle the personal data of applicants, visit our Employee and Candidate Privacy Policy https://www.grindr.com/privacy-policy/applicant-privacy-policy/.
Senior Staff ML Engineer
About the Team: Grindr is an AI-native platform powering how millions of gay people connect globally. With 15M+ monthly users, 130B+ annual messages, and a team of fewer than 200, we move fast, stay lean, and tackle technical problems at a scale few companies ever see. At Grindr, we’re at the dawn of an AI-driven evolution, and you’ll be a senior technical leader shaping the vision . This is your chance to harness cutting-edge machine learning to redefine how millions of people in the LGBTQ+ community around the world connect —whether it’s an entertaining chat, a casual encounter or long-term relationship. We’re doubling down on ML as the future of Grindr, and in these early days, you’ll drive strategy and execution that leaves a mark on a one-of-a-kind platform at global scale. - Early-Stage Impact: It's still early days for ML at Grindr, so you'll be charting the roadmap and building foundational systems surrounded by high-impact, greenfield work, setting the stage for our long term ML strategy. - Recommendations That Reshape: Architect and scale recommendation platforms that match millions to their next big moment, adapting to a range of intents with impact you can feel. - Conversations That Connect: Use LLMs to uncover insights, and define best practices for conversational AI at Grindr, helping users find their spark with precision and flair. At Grindr, we operate in Grindr Mode. Moderately hardcore day to day, truly hardcore when it counts. It’s about doing great work without burning out. Outcomes over outputs. Smart, driven people who raise your bar, with room to live full lives. This is a hybrid role based in our Palo Alto or San Francisco offices and will require you to be in office Tuesdays and Thursdays. About the Job: - Architect and oversee large-scale recommendation systems to serve millions, balancing performance and innovation. - Leverage the latest LLMs to process vast conversation data and enhance user connections. - Prototype, iterate, and ship production-ready ML solutions that solve real problems for our user. - Provide technical leadership across teams, collaborating with engineering, data science and product teams to turn bold ideas into tangible results. - Evaluate, influence, and integrate emerging AI tools and techniques at an organizational level to keep Grindr’s tech stack ahead of the curve. Role Requirements: - 10+ years of experience building ML systems with a focus on 0-to-1 system development, platform-scale architecture, and creating new capabilities from scratch. Experience with recommendation systems or similar is a plus. - Proven ability to deliver at scale, with fluency in Python and popular ML frameworks. - A scrappy mindset—you tackle messy challenges head-on and get real results. - Experience using data and deployment technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, PySpark) - Experience building machine/deep learning models with at least one common framework such as PyTorch, Tensorflow, or Keras. - Experience with any public cloud environment - AWS, GCP or Databricks. You May Thrive in this Role if You: - Expertise in building and maintaining LLM workflows for nuanced, human-driven tasks. - A track record of leading the development of recommendation platforms that hit the mark for diverse user needs. - Thrives in a fast-paced, outcome-driven environment with lots of cross-functional collaboration. - A proven history of setting technical direction, driving adoption of ML systems across organizations, and owning products end-to-end from early-stage concept to full-scale rollout. Benefits and Perks: - Health, Dental & Vision Full premium coverage for you. Partial coverage for dependents. - Family Formation Up to $300,000 in fertility and family-building support, covering IVF, surrogacy, egg freezing, and adoption. - Retirement: 401(k) with 6% match and immediate vesting. - Compensation: Industry-competitive compensation, company bonus, and equity for every employee. - Gender-Affirming Care : Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more. - Time Off & Rest Flexible vacation policy. Two company-wide rest weeks per year. - Other Benefits: Monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast/lunch About Grindr: Grindr is building the Global Gayborhood in your Pocket. With more than 15 million monthly active users, Grindr has become a fundamental part of the gay community and is charting a path to make the world more free, equal, and just. As a public company, we're moving into the next chapter: becoming an AI-native organization that's redefining what's possible for our community. We're embedding AI into our product and operations, moving with startup speed while operating at scale. Everything we do is rooted in impact for our users and outcomes for the business. This isn't social work, it’s impact through excellence. Business success is what gives us the power to serve our community and the seat at tables others can't reach. How we work is defined by Grindr Mode, our operating model that's moderately hardcore day-to-day and truly hardcore when it counts. We think like owners, drive real outcomes, create clarity through action, and push each other to go further than we thought possible. We’re headquartered in West Hollywood with offices in the Bay Area, Chicago, and New York. Our work extends beyond the product through Grindr for Equality, our social impact initiative that's partnered with 100+ community organizations globally to advance safety, health, and human rights for LGBTQ+ people worldwide. We're profitable, growing, and building a team of smart, driven people who bring different backgrounds, experiences, and perspectives to the work. Want to build technology at a massive scale that serves millions? Come join us! Grindr is an equal-opportunity employer. To learn more about how we handle the personal data of applicants, visit our Employee and Candidate Privacy Policy https://www.grindr.com/privacy-policy/applicant-privacy-policy/.
Senior Staff Software Engineer, Agentic Platform
A BOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions, from invoicing to accounting. Tide is transforming the small business banking market and now supports over 2 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data driven decisions to serve our mission: to help SMEs save time and money so they can get back to doing what they love. Tide facts: - Tide is available for UK, Indian, German and French SMEs - Over 2 million members across UK and India - Over $300 million raised in funding - Over 2,800 Tideans globally - Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026 - We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg ABOUT THE ROLE Tide is hiring a Senior Staff Software Engineer to lead the architecture of our agentic platform. You will shape the shared capabilities that allow AI systems to operate safely, reliably, and at scale across Tide. That includes context, orchestration, tool execution, trust controls, observability, and evaluation. You will participate in key build versus buy decisions, integrate external components where they accelerate us, and ensure we own the parts that matter most for Tide’s trust, data advantage, and long-term platform leverage. WHAT YOU WILL DO - Define the architecture for Tide’s agentic platform - Drive the design of shared services such as context APIs, tool layers, policy controls, and auditability - Partner with product, data, security, and engineering teams to turn use cases into reusable platform capabilities - Set standards for reliability, safety, scalability, and developer experience - Provide technical leadership across teams and unblock critical decisions - Implement cost-management and routing logic to optimize LLM spend across different providers - Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories WHAT WE ARE LOOKING FOR - Deep experience building platform or infrastructure systems at scale - Strong judgement across APIs, distributed systems, data, and cloud-native architecture - Track record of leading complex cross-team technical problems - Experience integrating third-party platforms without losing control of core architecture - Strong understanding of reliability, security, and observability - Experience with AI platform components is valuable, but not essential - Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is highly desirable WHY THIS ROLE MATTERS This role will help determine whether Tide builds isolated AI pilots or a reusable platform that compounds value across productivity, risk, and connectivity. OUR TECH STACK: - Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!) - Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable - Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users) - Docker, Terraform, EKS used by the Cloud team to run the platform - DataDog and Rollbar to keep it running - GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks - Angular 2+ with ngrx on Web, Flutter for the Mobile App - Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management WHAT YOU’LL GET IN RETURN - The gross monthly salary for this position ranges from 7400€ to 11560€, depending on your skills, and experience. - Private Health Insurance - 25 days paid annual leave - 3 paid days off for volunteering or L&D activities - Parental Leave days - Family-Friendly Leave - Personal L&D budget in the amount of 500 EUR per year - Mental wellbeing platform Plumm - WFH equipment allowance - Sabbatical Leave - Share options - Team Events TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard. Disclaimer It has come to our attention that individuals or agencies are falsely claiming to represent Tide and are reaching out to candidates regarding job opportunities. Please be aware that: - Tide does not charge any fees at any stage of the recruitment process. - All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel. - Communication from Tide will only come from an official @tide .co email address. - Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf. If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process. Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy . Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice .
Senior Staff Engineer, AI Core
ABOUT NU Nu serves more than 140 million customers, guided by a mission to fight complexity and empower people. The company has been leading an industry transformation through innovative products and human-centered services. Proprietary technology and data at scale power Nu’s digital platform, built to promote financial access, advancement, and transparency. Its business model thrives on customer love and lower costs, feeding a flywheel of growth and profitability. Visit our Institutional Page https://www.nu.com/2026-en About the Role At Nu, the AI Private Banker is our intelligent financial partner that helps millions of customers understand their finances, make confident decisions, and take action seamlessly. As a Staff Software Engineer on this team, you'll define the technical architecture that powers conversational AI, recommendation engines, and personalized financial experiences across mobile and web. You'll own the full stack from Flutter mobile apps that reach millions of users to distributed backend systems that process real-time recommendations and conversational AI interactions. This isn't just about building features; it's about creating the engineering foundation that makes financial empowerment accessible at scale. Here, every technical decision you make directly impacts how millions of people experience financial guidance. You'll work at the intersection of banking and frontier AI, building systems that are both innovative and reliable. Behind every product interaction, there are curious minds redefining what's possible—and you'll be one of them. You'll be responsible for - Lead the technical architecture and design decisions for AI Private Banker's full-stack platform, ensuring scalability and performance across mobile and backend systems. - Build and maintain Flutter mobile applications that deliver seamless conversational AI experiences to millions of users across iOS, Android, and Web. - Design and implement distributed backend services that power recommendation engines, conversational AI integration, and real-time personalization. - Collaborate with product, design, and data teams to translate ambitious product goals into clear, phased technical roadmaps. - Drive engineering best practices across the team through code reviews, technical mentorship, and architectural guidance. - Own the technical strategy for deploying and maintaining a unified user experience across multiple platforms and markets. - Integrate AI/ML model outputs into consumer-facing applications, ensuring real-time performance and reliability. - Make decisive technical trade-offs that balance innovation, scalability, and operational excellence. We are looking for a person who has Required - Experience as a Sr. Staff/Staff Engineer shipping complex, large-scale consumer-facing mobile applications. - Strong track record of designing, building, and operating high-throughput, fault-tolerant backend services using microservices architecture and event-driven design. - Proven ability to take complete technical ownership of a major product area, making informed trade-offs on architecture and implementation. - Experience working with data systems, APIs, and pipelines necessary to power AI/ML outputs within user interfaces. - Track record of leading technical initiatives and mentoring other engineers on architecture, performance, and operational excellence. Nice to have - Experience in the FinTech or highly regulated industry. - Familiarity with cloud-native development (AWS). - Proficiency in one or more backend languages suitable for high-scale applications (e.g., Go, Java, Python, Clojure). - Experience building conversational AI interfaces or recommendation systems. - Track record of scaling mobile applications across multiple global markets Benefits: - Top Tier Medical Insurance - Top Tier Dental and Vision Insurance - 20 days off, 14 company holidays, and a great culture that emphasizes work-life balance. - Life Insurance and AD&D - Extended maternity and paternity leaves - Nucleo - Our learning platform of courses - NuLanguage - Our language learning program - NuCare - Our mental health and wellness assistance program - 401K - Saving Plans - Health Saving Account and Flexible Spending Account Compensation: Total compensation includes base salary, RSUs, and benefits. Base salary: $345k+ annually. Location for this opportunity Palo Alto, United States Work Model for this Role Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/ Our recruitment process may involve the use of artificial intelligence–enabled tools, such as automated interview transcription and analysis, to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers. To maintain a consistent and fair process for every candidate, Nu does not provide individualized technical feedback. See how our policy works here https://script.google.com/a/macros/nubank.com.br/s/AKfycbwvrewE58oGSbRWIVv8CyCWN68GLxpPVsfYYXv-ZHg94QFsTJmi82rF1x0yt-OTs2W0DQ/exec
Senior AI-Native Product Designer
Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. We are looking for a Senior AI Native Product Designer for our Platform Team. In this role, you will not simply manage a UI kit; you will architect the foundational systems–both deterministic and probabilistic–that allow our designers and engineers to build intelligent, context-aware experiences at scale. At HealthOS, our mission is to empower every person to own their inner potential. We sit at the intersection of health and technology, building the platform that powers a new generation of intelligent software. Our products help a global community gain a deeper knowledge of their readiness, activity, and sleep quality, providing the daily insights and practical steps needed to inspire a healthier lifestyle. We believe that the most sophisticated technology should be the most quiet. Our philosophy is rooted in calm technology: creating tools that don't demand our attention, but rather return it to us. Empowering the world starts with empowering our team. We ensure our people have the space, the tools, and the agency to do their best work–both in and out of the office–as we help millions of people live healthier, happier lives. What you will do: - Design for Agency & Autonomy: Move beyond "chat-box" paradigms. Architect agentic workflows where the platform anticipates user needs and provides "one-step-ahead" utility through ambient, screenless interactions. - Orchestrate Probabilistic UX: Define the interaction patterns for uncertainty. You will design how the system communicates confidence levels, handles AI hallucinations, and maintains user trust when dealing with sensitive health data. - Bridge Design & Data Science: Work as a peer to Data Scientists to shape model outputs into meaningful human experiences. You’ll help define the ontologies, logic gates, and feedback loops that allow our AI to learn from user behavior without being intrusive. - Functional AI Prototyping: You don't just draw; you build. Use the latest tools (React, LLM APIs, Vercel AI SDK) to create high-fidelity, functional prototypes that prove out complex AI logic and contextual triggers before they hit production. - Architect Generative Systems: Lead the creation of "Generative UI" frameworks and contextual tokens that allow our platform to assemble personalized experiences on the fly based on a user’s unique "Healthspan" data. - Champion Calm Intelligence: Ensure our AI is "quiet." You will guard the user against cognitive overload by filtering the noise of raw health data into calm, actionable, and timely insights. - Influence through Technical Craft: Navigate deep-dive sessions with backend and ML engineers. You speak the language of APIs, RAG (Retrieval-Augmented Generation), and latent space, aligning stakeholders through the strength of your technical vision. This is a hybrid-remote role, with the expectation to work from our San Francisco offices at least half-time. REQUIREMENTS We would love to consider you for this role if you have: - 5+ Years of Experience: A proven track record in Senior or Staff roles at the intersection of Product Design and emerging technology, specifically in AI/ML-driven environments. - AI-Native Mindset: You understand that AI is a new design material. You are familiar with the capabilities and constraints of LLMs, embedding models, and predictive analytics. - Code-As-Craft: You are proficient in React/Typescript, or native code and comfortable working with APIs. You can build functional prototypes that interact with real data models to test "Agentic" behaviors. - A Modern AI Toolstack: Expert-level Figma, combined with an active practice with AI-accelerated workflows: Cursor, Gemini and Claude for prompt engineering and UI generation. - Systems & Logic Literacy: A deep understanding of how design logic translates to backend architecture. You have experience working with "headless" systems and understand how to design for multi-modal inputs (voice, haptic, ambient). - Portfolio of Intelligent Systems: A portfolio demonstrating how you’ve handled high-complexity data and AI-driven interactions. We want to see how you managed the "black box" of AI to create a transparent, user-centric experience. BENEFITS At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health and add to our benefits! What we offer: - Competitive salary and equity packages - Health, dental, vision insurance, and mental health resources - An Oura Ring of your own plus employee discounts for friends & family - 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off - Paid sick leave and parental leave - Amazing culture of collaborative and passionate coworkers Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. - Region 1: $172,000 - $203,000 A recruiter can determine your zones/tiers based on your US location. We are not considering candidates residing in the following states: Alaska (AK), Arkansas (AR), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), Oklahoma (OK), Rhode Island (RI), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: - Our jobs are listed only on the ŌURA Careers page and trusted job boards. - We will never ask for personal information like ID or payment for equipment upfront. - Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.
Staff Product Manager, Ecosystem Health
About the Team: Grindr is an AI-native platform powering how millions of gay people connect globally. With 15M+ monthly users, 130B+ annual messages, and a team of fewer than 200, we move fast, stay lean, and tackle technical problems at a scale few companies ever see. The Ecosystem Health team protects our users and helps ensure a safe, authentic experience across Grindr. We build products and systems that safeguard the integrity of user accounts and activity, tackling spam, fake accounts, fraud, illegal activities, and harmful conduct while preserving the privacy, discretion, and freedom of our community values. As a Staff Product Manager, you’ll drive the Ecosystem Health product roadmap and bring it to life - from AI-powered detection systems and fraud prevention to account authenticity and moderation. You’ll partner with Engineering, Data Science, Legal, Privacy, and Customer Experience to turn complex fraud and safety challenges into effective products, lead technical execution, and deliver measurable improvements in user safety and platform integrity. This is an opportunity to own some of Grindr’s most consequential product surfaces, stay ahead of emerging threats, and help millions of people connect with confidence. At Grindr, we operate in Grindr Mode. Moderately hardcore day to day, truly hardcore when it counts. It’s about doing great work without burning out. Outcomes over outputs. Smart, driven people who raise your bar, with room to live full lives. This is a hybrid role based in our New York, Los Angeles, San Francisco, or Chicago offices and will require you to be in person Tuesdays and Thursdays. About the Job: - Translate the Ecosystem Health vision into a focused product strategy and roadmap across platform integrity, fraud prevention, moderation, authenticity, and user trust. - Lead complex product initiatives from problem definition through launch and iteration, partnering with Engineering, Data Science, Customer Experience, Legal, Privacy, and Marketing. - Build and improve AI/ML-powered detection and moderation systems that identify harmful behavior at scale while accounting for accuracy, user impact, and the ways people use Grindr. - Develop user-facing products that strengthen authenticity and trust, including verification, age assurance, reporting, and privacy controls. - Define ecosystem health metrics, identify emerging risks, make clear tradeoffs, and use data to prioritize the work that most improves user safety and platform integrity. Role Requirements: - 8+ years of product management experience, including ownership of complex consumer products or platforms at scale. - Experience in trust and safety, fraud prevention, risk, identity, marketplace integrity, or another domain where product decisions balance protection, access, privacy, and user experience. - A track record of turning broad company or functional direction into product strategy, multi-quarter roadmaps, and shipped outcomes across multiple teams. - Strong technical and analytical judgment, including experience working with engineers and data scientists on automated decision systems, model performance, platform architecture, and operational tooling. - Experience defining success metrics, diagnosing patterns in large or complex datasets, and using evidence to make product tradeoffs. - The ability to create clarity and momentum across senior stakeholders without direct authority, especially when the problem is ambiguous, high stakes, or time sensitive. You May Thrive in this Role if You: - Have built products for sensitive or adversarial environments, including user-generated content, account authenticity, age assurance, scams, abuse, or regulatory risk. - Balance strong risk judgment with empathy for users whose safety, privacy, and discretion needs are complex. - Bring experience in data science, machine learning, software engineering, or highly technical product environments. - Are AI-native or rapidly becoming so - you actively use AI tools in your workflow and are always looking for new ways to leverage them. Benefits and Perks: - Health, Dental & Vision Full premium coverage for you. Partial coverage for dependents. - Family Formation Up to $300,000 in fertility and family-building support, covering IVF, surrogacy, egg freezing, and adoption. - Retirement: 401(k) with 6% match and immediate vesting. - Compensation: Industry-competitive compensation, company bonus, and equity for every employee. - Gender-Affirming Care : Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more. - Time Off & Rest Flexible vacation policy. Two company-wide rest weeks per year. - Other Benefits: Monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast/lunch About Grindr: Grindr is building the Global Gayborhood in your Pocket. With more than 15 million monthly active users, Grindr has become a fundamental part of the gay community and is charting a path to make the world more free, equal, and just. As a public company, we're moving into the next chapter: becoming an AI-native organization that's redefining what's possible for our community. We're embedding AI into our product and operations, moving with startup speed while operating at scale. Everything we do is rooted in impact for our users and outcomes for the business. This isn't social work, it’s impact through excellence. Business success is what gives us the power to serve our community and the seat at tables others can't reach. How we work is defined by Grindr Mode, our operating model that's moderately hardcore day-to-day and truly hardcore when it counts. We think like owners, drive real outcomes, create clarity through action, and push each other to go further than we thought possible. We’re headquartered in West Hollywood with offices in the Bay Area, Chicago, and New York. Our work extends beyond the product through Grindr for Equality, our social impact initiative that's partnered with 100+ community organizations globally to advance safety, health, and human rights for LGBTQ+ people worldwide. We're profitable, growing, and building a team of smart, driven people who bring different backgrounds, experiences, and perspectives to the work. Want to build technology at a massive scale that serves millions? Come join us! Grindr is an equal-opportunity employer. To learn more about how we handle the personal data of applicants, visit our Employee and Candidate Privacy Policy https://www.grindr.com/privacy-policy/applicant-privacy-policy/.
Computer Vision & Machine Learning Engineer, Photo...
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company operates Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc. , a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji , Saturn, and other digital services. Snap’s Spectacles unit is a world-class Research & Development team, working together to pave the way for the future of the camera and wearable computing. We’re working on cutting-edge capture and AR solutions and are inventing new ways in which computing will be overlaid on the world around us. The Spectacles Computer Vision Team works to solve some of the most important challenges in Computer Vision, Machine Learning, and Augmented Reality. As a Computer Vision & Machine Learning Engineer on this team, you’ll work on solving tough challenges in ultra-low-light and high-temporal-resolution imaging, developing novel algorithms for photon-efficient, event-driven imaging systems for the next generation of wearable devices. We work on wearables and look to push the boundaries of what is possible. Working from our London office, you will be collaborating closely with other Snap hardware and software teams around the world. What you’ll do: Design, train, and deploy machine learning models and computer vision algorithms tailored for photon-efficient, event-driven imaging systems Contribute to state-of-the-art tracking, depth estimation, and SLAM and ML systems leveraging high-temporal-resolution event-driven data Develop novel photon-efficient imaging features and algorithms for the next generation of AR Glasses Research new machine learning and probabilistic techniques to improve speed, noise robustness, and accuracy of computer vision algorithms in photon-efficient, event-driven imaging systems Work with our computer vision team to deliver next-generation detection (such as face, hand, body etc.) technology for augmented reality systems Knowledge, Skills & Abilities: Solid foundation in photon-efficient, event-driven imaging systems Solid foundation in computer vision, machine learning, and statistical signal processing Solid math background with deep understanding of 3D geometry, probability, statistics, and linear algebra Ability to transform ideas into clean, fast and reliable code Attention to detail, strong desire for quality and good communication skills Outstanding problem solving skills Minimum Qualifications Experience with computer vision for photon-efficient or event-driven imaging systems (e.g. VIO, SLAM, Hand tracking) 5+ years of post-Bachelor’s relevant experience; or Master’s degree in a technical field + 4+ years of relevant post-grad experience; or PhD in a relevant technical field + 2 years of relevant experience Track record of successful projects showing computer vision skills in photon efficient or event-based imaging 5+ years of programming experience in C++ and Python (e.g. PyTorch, TensorFlow) If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information . "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. Our Benefits : Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!
Senior Backend Software Engineer (AI Native)
Qrypt's mission is to protect the world's data and restore privacy. Qrypt hardens cybersecurity and future-proofs encryption against quantum attacks by eliminating key transmission. Qrypt's unique technology independently generates symmetric keys at multiple endpoints for critical workflows today. We are a passionate team of engineers, physicists, and cryptographers committed to transforming the way the world safeguards data and communications! Qrypt is looking for a Senior Backend Software Engineer to own the services behind our quantum security products. You will lead the design and development of backend software — primarily in Rust — that moves quantum entropy and keys, powers our entropy-as-a-service platform, and makes our appliances work reliably and securely at scale. You will use AI-assisted development tooling as a core part of how you work, own the correctness and quality of what ships, and help set how the team engineers in an AI-native way. What you'll do Lead the design, development, and testing of backend services and APIs, primarily in Rust, with some C++ and Python. Own significant parts of the backend end to end: architecture, implementation, reliability, and performance. Make and document design tradeoffs; raise the bar on code quality, testing, and review across the team. Work close to the metal on the software that delivers quantum entropy and keys reliably and securely. Use AI-assisted and agentic development tooling to accelerate your work while owning the correctness and quality of everything you ship. Help shape how the team adopts AI-assisted development (instruction conventions, review standards) as the tooling matures. Develop deep domain understanding (quantum random number generation, cryptography, network security) to architect and validate our products. Mentor other engineers and collaborate across hardware, product, and engineering to ship end-to-end. What you'll need Bachelor's degree in Computer Science or a related technical field, and/or relevant work experience. 6+ years building and shipping backend software, including ownership of services end to end. Expertise in Rust, or deep systems-programming experience (C, C++, Go) with a demonstrated ability to work primarily in Rust at a senior level. Working proficiency with C++ and Python. Strong command of backend architecture: APIs, services, concurrency, reliability, performance, and Linux. Fluency with AI and agent-assisted development, and the judgment to apply it where it adds real leverage — reviewing, correcting, and taking full ownership of AI-generated work. This is core to how we operate at Qrypt and is expected of everyone here. A track record of technical leadership: design decisions, mentoring, and raising engineering standards. Strong written and verbal communication skills. Must be authorized to work in the United States. Qrypt does not provide visa sponsorship for this role. Nice to have Nice to have Experience with cryptography, security, or networking systems. Experience designing high-reliability, high-assurance, or performance-sensitive services. Familiarity with Linux systems programming, packaging, and deployment. Benefits & Perks Competitive Pay & Equity participation Comprehensive health, dental and vision coverage Strong 401(k) match In-office lunch and snacks The opportunity to be part of a company solving one of the most critical technology challenges of our time!
Backend Software Engineer (AI Native)
Qrypt's mission is to protect the world's data and restore privacy. Qrypt hardens cybersecurity and future-proofs encryption against quantum attacks by eliminating key transmission. Qrypt's unique technology independently generates symmetric keys at multiple endpoints for critical workflows today. We are a passionate team of engineers, physicists, and cryptographers committed to transforming the way the world safeguards data and communications! Qrypt is looking for a Backend Software Engineer to build the services behind our quantum security products. You will write and ship backend software — primarily in Rust — that moves quantum entropy and keys, powers our entropy-as-a-service platform, and makes our appliances work reliably at scale. You will use AI-assisted development tooling as a core part of how you work, while owning the correctness and quality of everything you ship. What you'll do Design, build, and test backend services and APIs, primarily in Rust, with some C++ and Python. Work on the software that delivers quantum entropy and keys reliably and securely. Write well-tested, maintainable code and participate in design and code review. Use AI-assisted and agentic development tooling to accelerate your work while owning the correctness and quality of everything you ship. Help shape how the team adopts AI-assisted development (instruction conventions, review standards) as the tooling matures. Develop an understanding of the domain (quantum random number generation, cryptography, network security) to build and validate our products. Collaborate with hardware, product, and other engineers to ship end-to-end. What you'll need Bachelor's degree in Computer Science or a related technical field, and/or relevant work experience. 3+ years building and shipping backend software. Proficiency in Rust, or strong systems-programming experience (C, C++, Go) with a demonstrated ability and eagerness to work primarily in Rust. Working familiarity with C++ and Python. Solid grasp of backend fundamentals: APIs, services, concurrency, testing, and Linux. Fluency with AI and agent-assisted development, and the judgment to apply it where it adds real leverage — reviewing, correcting, and taking full ownership of AI-generated work. Strong written and verbal communication skills. Must be authorized to work in the United States. Qrypt does not provide visa sponsorship for this role. Nice to have Experience with cryptography, security, or networking systems. Experience with high-reliability or performance-sensitive services. Familiarity with Linux systems programming and packaging/deployment. Benefits & Perks Competitive Pay & Equity participation Comprehensive health, dental and vision coverage 401(k) match In-office lunch and snacks The opportunity to be part of a company solving one of the most critical technology challenges of our time!
Principal Distributed Systems Engineer
About IonQ: IonQ, Inc . [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance . Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before. Location: This role is based onsite at our office in Santa Clara, CA. Travel: Up to 15%, domestic or international. Job ID: 1923 The Role: We are looking for a Principal Distributed Systems Engineer to join the team building IonQ's Network and Security Platform. As a Principal Distributed Systems Engineer, you'll be part of a cross-functional team whose mission is to lead IonQ on its journey to build the world's best quantum computers to solve the world's most complex problems — and to secure the world's networks against quantum threats. In this role, you will be responsible for setting the technical direction and end-to-end architecture of the platform's distributed backend — the ingestion pipelines, event streaming and telemetry processing, time-series and data storage layers, and APIs that give operators real-time visibility into their networks and the intelligence to make them quantum-safe. You will remain hands-on: building reference implementations and proofs of concept, reviewing critical designs and code, and turning architecture decisions into production-grade systems alongside Staff and Senior engineers. The ideal candidate is a hands-on architect and natural technical leader who has designed and scaled multi-tenant, data-intensive distributed platforms, can align technology choices with business outcomes, and is energized by making complex infrastructure simple, observable, secure, and dependable. Responsibilities : Platform Architecture & Technical Direction - Define and own the multi-year architecture and technical roadmap for the platform's distributed backend, measured by delivery against roadmap milestones and platform availability, scalability, and cost targets. - Lead architecture reviews and author the design standards, reference architectures, and decision records that guide how the platform — and IonQ's broader engineering organization — approaches distributed systems and data infrastructure problems. - Identify systemic reliability, scalability, security, or architectural gaps across the platform and drive cross-team initiatives to resolve them. - Partner with product, security, and engineering leadership to translate business requirements into architecture decisions, clear engineering specifications, and sequenced delivery plans. Distributed Data & Streaming Systems - Architect high-throughput ingestion and telemetry pipelines that reliably collect data from large network device fleets (e.g., gNMI/gRPC, NETCONF, SNMP streams). - Design event streaming architectures using Kafka or Kinesis with well-defined delivery semantics (at-least-once / exactly-once), schema enforcement and evolution, and backpressure handling. - Define the time-series and storage strategy (InfluxDB, TimescaleDB, or equivalent), including partitioning, retention, archival, and query performance under production load. - Design RESTful and gRPC APIs that expose platform data to internal consumers and external integrations, evaluated by latency SLAs, uptime, and adoption by downstream teams. Hands-On Engineering - Build production-quality services, prototypes, and reference implementations in Go and/or Rust (or another production systems language), setting the bar for code quality and test coverage. - Review critical designs and code across teams to ensure correctness, performance, and operability. Reliability, Security & Operations - Establish the observability architecture — structured logging, distributed tracing, and metrics (OpenTelemetry, Prometheus) — so production issues can be diagnosed and resolved within defined SLOs. - Define multi-tenant isolation, access control, and data-governance patterns that meet security, compliance, and data residency requirements. - Guide incident response for complex production issues, participate in on-call escalation, and drive systemic improvements tracked through post-mortems. Cloud-Native Infrastructure - Set the multi-cloud deployment architecture for containerized workloads on Kubernetes, with infrastructure-as-code (Terraform) across AWS, GCP, and Azure, meeting platform availability and cost targets. Leadership & Mentorship - Mentor and coach Senior, Staff, and Senior Staff engineers; raise the bar on engineering standards, code review culture, and design practices. - Act as a cross-organizational technical authority on distributed systems and data infrastructure across IonQ. Requirements: - 15+ years of software engineering experience building and operating distributed backend systems and platforms at scale, or an equivalent combination of education and experience. - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Demonstrated record as a hands-on architect: defining the architecture and multi-year roadmap for large-scale distributed platforms and driving them through to production. - Deep experience designing distributed data systems: event streaming (Kafka, Kinesis, or equivalent), high-throughput ingestion pipelines, and time-series or large-scale data stores. - Strong fundamentals in distributed systems: consistency models, failure modes, backpressure, idempotency, and exactly-once vs. at-least-once processing tradeoffs. - Hands-on proficiency in at least one production systems language (Go, Rust, Java, or Scala), with the ability to build reference implementations and review production code. - Extensive experience with cloud-native architecture on AWS (GCP or Azure a plus): containerization, Kubernetes, infrastructure-as-code, security, and cost optimization. - Experience designing multi-tenant platforms with strong data isolation, access control, and governance. - Experience defining observability and reliability frameworks — logging, metrics, tracing, SLOs — for mission-critical systems. - Established record of setting technical direction beyond a single team: leading architecture governance, influencing executive stakeholders, and mentoring senior engineers across globally distributed organizations. - Excellent written and verbal communication, with the ability to explain complex architecture tradeoffs to both engineering and business audiences. Preferred Qualifications: - Master's degree in Computer Science, Engineering, or a related discipline. - Production experience in Go and/or Rust. - Experience with network telemetry and network management platforms — gNMI/gRPC, NETCONF, SNMP, YANG data models — or prior work at a network equipment vendor or network management company (e.g., Juniper, Cisco, Arista, Nokia). - Experience with graph databases or graph data models for network topology (e.g., Neo4j, Amazon Neptune, or custom adjacency representations). - Experience with AI/ML platform infrastructure (MLOps / LLMOps, model governance, agentic workflows) applied to operational or network data. - Experience in regulated, security-conscious environments (FedRAMP, NIST, or equivalent). - Contributions to open-source infrastructure, streaming, observability, or networking projects, or published technical writing on distributed systems. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site. If this role has a commission structure, the compensation range below just reflects the base compensation range. Wage Transparency: $212,000 - $265,000 USD Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401(k), unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply!
ML Ops Engineer, Quantum Machine Learning
Silicon Quantum Computing (SQC) is at the forefront of global efforts to build the world’s first commercial-scale quantum computer, while delivering quantum-enhanced AI and simulation products to customers today. Backed by over 25 years of technological excellence, SQC is a full-stack quantum computing company that leverages its proprietary manufacturing process to engineer atomic qubits in silicon with 0.13 nanometer precision. It is the most precise semiconductor manufacturing in the world, enabling systems with world-leading algorithmic fidelity, and a decisive advantage in the global quantum computing race. Our products are commercially deployed and generating revenue. Watermelon, our quantum-enhanced AI system, is delivering superior results on real-world problems across energy, telecom and finance. Quantum Twins, our simulation platform, provides unparalleled ability to model quantum systems, accelerating molecule and materials discovery. This is SQC: building the future of computing while delivering quantum impact today. About the role We are hiring an ML Ops Engineer into Quantum Machine Learning, the team that runs a production QML reservoir on the Watermelon chip: quantum feature generation that improves deep learning on customer problems, plus the models and pipelines around it. The scientists tune the physics, the devices and the models. You will build what the science depends on: the data path in, the training and evaluation pipelines, and the metrics that feed the roadmap. The feature extractor is a quantum device with a queue and a calibrated state, so every training run has to record which chip and which calibration produced its features. Benchmarking devices and models against each other matters to our R&D work and to the results improving our device design. Customer engagements drive the work. A dataset arrives, often needing data engineering and usually under NDA, and the team has to get from raw tables to a trained model with a defensible comparison against whatever the customer uses today. Doing that once is a research project. This role is doing it repeatedly, for several customers at a time, without the pipelines rotting between engagements. Based at our Sydney facility, you will work across the science, the platform and the customer-facing teams. This is a role for someone who can move research code into production without slowing the research down, and who wants to build benchmarks that stand up to scrutiny from a customer's own data scientists. Role responsibilities - Own the data path from a customer dataset landing to features ready for training: ingestion, validation, cleaning, splitting, versioning and access control - Build and run the training and evaluation pipelines that take quantum features from the Watermelon chip through to a trained, measured model - Make experiments reproducible: track datasets, hyperparameters, code versions, chip identity and calibration state alongside every result - Build the benchmarking harness that compares quantum features against classical deep learning baselines on equal terms, and keep it valid as models and datasets change - Automate the path onto hardware: batching jobs against device queues, handling device unavailability and re-runs, and reconciling feature sets generated across different chip states - Deploy models into customer-facing serving, and monitor them for accuracy, latency and data drift - Build the pipeline scaffolding that lets a new customer engagement start from a working template instead of a blank notebook - Instrument the pipelines so the team can see cost, throughput, device utilisation and where a run spent its time - Work with Integration & Access on the QML APIs and SDKs, feeding back what the pipelines need from the platform - Handle customer data under its commercial and privacy obligations, including segregation, retention and audit - Balance model explainability, complexity and function when reporting results, considering more than model performance alone - Document pipelines, data lineage and operational procedures so someone who did not run a result can reproduce it Your experience Essential - 4+ years building and operating machine learning pipelines or data platforms in production - Strong Python, including the scientific and ML stack (NumPy, pandas, PyTorch or JAX, scikit-learn) - Data engineering across batch and streaming workloads: pipeline orchestration (Airflow, Dagster, Prefect or equivalent), schemas, data validation and versioning - Practical MLOps: experiment tracking, model registries, reproducible training, CI/CD for models, and monitoring after deployment - Sound grasp of ML methodology, particularly evaluation: train/test hygiene, cross-validation, leakage, and how to build a benchmark that stands up to scrutiny from a customer's own data scientists - Containers, and running workloads on infrastructure shared with other teams - Git workflow, code review and testing, applied to research code as well as production code - Working with data that carries commercial or regulatory constraints - Working directly with commercial customers on their data and their problems - Clear technical writing, and the ability to explain a result and its caveats to people who are not ML specialists Nice to have - MLflow, or a comparable experiment tracking and model registry stack (Weights & Biases, Neptune) - Feature stores, or any system where derived features need provenance back to their inputs - Time series or signal data, which is where much of our customer work sits - Reservoir computing, kernel methods, or other approaches that treat a fixed nonlinear map as a feature generator - Quantum computing exposure, including any of Qiskit, PennyLane, Cirq or similar (no physics degree required) - Hardware-in-the-loop pipelines, or scheduling work against instruments and devices with queues and downtime - HPC and batch schedulers such as Slurm, and GPU cluster work - Model serving at low latency (Triton, Ray Serve, TorchServe or equivalent) - Data engineering at scale (Spark, Dask, DuckDB, Parquet and columnar formats) - Cost and performance tuning across compute, storage and accelerator time - Rust or Go alongside Python Equal opportunity SQC is an equal opportunity employer. We value diverse perspectives and experiences, and encourage applications from candidates who may not meet every listed requirement. If you’re excited about the role and believe you can contribute, we encourage you to apply. Export controls This position may require access to export-controlled information or technology. Employment may be subject to applicable export control laws and may require eligibility assessment based on factors such as nationality, citizenship, or residency, and, where necessary, obtaining relevant export licenses or approvals. About SQC SQC was founded by renowned physicist and materials scientist Michelle Simmons, who pioneered the field of atomic electronics, including the development of the world’s first single-atom transistor and the first integrated circuit built with atomic precision. Our Chair, Simon Segars, former CEO of Arm, is a leader in the semiconductor industry and was instrumental in developing the processors that powered the mobile computing revolution. As a full-stack company with in-house QPU manufacturing, SQC can design, produce and test new quantum chips in under a week, enabling rapid iteration and a decisive advantage in the race to build the world’s first commercial-scale quantum computer. SQC is a high-accountability environment built on a simple principle: Every Atom Counts. If you’re looking to play a meaningful role in building the next frontier of computing, we’d love to hear from you.
Senior Software Engineering Manager
About Us At Rigetti, our mission is to build the world’s most powerful computers to solve the world’s most challenging problems. Rigetti is a pioneer in superconducting Qubits and full stack quantum computing systems. In addition to introducing the first multi-chip quantum processor, Rigetti has led the way in software systems for quantum computing, with a distributed operating environment for hybrid quantum-classical computing, and a state-of-the-art streaming characterization and measurement development and execution platform We are seeking a Senior Software Engineering Manager to head the team responsible for software systems that enable the creation, delivery and maintenance of Rigetti’s quantum computers. This includes systems for device design, chip fabrication workflows, physics-informed data analysis, quantum gate-design, and quantum mitigation and error correction technologies. This also includes managing the team and supporting the development of software systems for quantum QPU and system characterization. This is a hands-on leadership role for someone who thrives at the intersection of state-of-the-art software engineering, hardware, and scientific computing. Role Overview As a Senior Software Engineering Manager, you will lead the team responsible for software platforms that enable the design, fabrication, characterization, and measurement of Rigetti's quantum systems – with a strong emphasis on integrating into the engineering process. You will manage and develop a team of professional software engineers, and collaborate closely with quantum hardware teams, quantum control systems designers, chip designers, fabrication engineers, and algorithm researchers. You’ll be responsible for engineering and system design that spans the entire gamut of our foundry operations through the delivery of an integrated quantum computing system, and delivery of characterization and measurement software to customers. This is a unique opportunity to build software systems critical for the design and delivery of Rigetti’s quantum computers at a time of significant organizational momentum. The ideal candidate is passionate about accelerating our hardware development flywheel and can empower technical teams in complex scientific environments while creating structure, accountability, prioritization, and long-term sustainability. Key Responsibilities Team Leadership & Organizational Development Lead and mentor a cross-functional software engineering team spanning scientific tooling, analytics infrastructure, and fabrication-support systems. Create stronger operational rigor around prioritization, execution, accountability, and project delivery. Provide coaching, growth support, feedback, and career development for engineers across varying levels of seniority. Help establish healthy engineering culture, team norms, and stronger collaboration practices. Serve as a day-to-day thought partner to the VP of Software Engineering while helping create additional leadership bandwidth across the organization. Participate in hiring and team scaling efforts as the organization grows. Technical & Engineering Leadership Partner closely with engineers to drive execution across scientific computing, fabrication tooling, analytics systems, and workflow automation. Support development of internal tooling and data systems that connect design, fabrication, and device performance workflows. Help modernize and operationalize internal tooling that has historically evolved organically through research and prototyping efforts. Drive better long-term ownership, maintainability, and lifecycle planning for internally developed systems and infrastructure. Help evolve engineering infrastructure and validation frameworks that improve scalability, reproducibility, and operational reliability across hardware development environments. Support technical decision-making, architecture discussions, and engineering prioritization while remaining hands-on enough to engage credibly with the team. Contribute technically when appropriate, particularly around debugging, architecture reviews, infrastructure improvements, or smaller engineering initiatives. Cross-functional Collaboration Work closely with quantum engineers, physicists, fabrication engineers, and hardware teams to understand operational pain points and evolving workflow requirements. Help balance competing stakeholder requests while improving prioritization discipline and long-term planning. Partner with fabrication teams as Rigetti continues evolving manufacturing and foundry operations across Berkeley and Fremont. Support systems that connect experimental data, fabrication workflows, characterization tooling, and engineering analytics into scalable internal platforms. Operational & Strategic Impact Help transition the team from highly reactive support work toward more proactive engineering planning and scalable systems development. Improve processes around technical debt management, prototype ownership, platform sustainability, and operational support models. Create better visibility into engineering priorities, roadmap tradeoffs, and team capacity. Support ongoing evolution of Rigetti’s scientific and engineering software ecosystem as the company scales hardware development efforts. Oversee the development, and architecture of data platforms and modeling tools that combine design files, fabrication process data, and device performance metrics. Empower the development and support for tools for design rule checking (DRC), layout-vs-schematic (LVS) checks, and process-aware design verification for quantum devices. Qualifications BS or equivalent degree in Software Engineering, Electrical Engineering, Physics, Applied Physics, or related field; MS or PhD a plus. 7+ years of software engineering experience, including 2+ years in a people leadership role, whether formal management or equivalent tech lead capacity Demonstrated experience building data systems, ideally in scientific computing or physics-informed models. Demonstrated experience with software systems managing large datasets, metadata, and scalable data pipelines. Experience with streaming architectures and tools (e.g., Kafka, Kinesis, Spark Streaming). Proficiency in Python; familiarity with JavaScript or TypeScript. Comfort in a scientific computing environment is strongly valued. Proficiency with AWS for development and production deployment and distributed computing. People leadership ability, including coaching, performance management, and building team culture, whether formal management experience or demonstrated informal leadership. Strong communication and stakeholder management skills; ability to represent the team's capacity and push back constructively on internal customer requests. Hands-on technical ability; should be capable of making code contributions on an as-needed basis, even if day-to-day focus is leadership. Nice-to-Have Knowledge of quantum device physics, such as superconducting qubits, trapped ions, photonics, or quantum information science. Knowledge of quantum control systems and low-level hardware/software interfaces, including cryogenic hardware, RF electronics, and qubit calibration. Familiarity with fabrication processes in semiconductor, quantum, or other hardware/lab-based environments. Familiarity with EDA tools, process design kits (PDKs), and chip layout software such as KLayout or Cadence. Experience with scientific computing platforms, simulation tools, and scientific computing libraries/tools such as NumPy, SciPy, PyTorch, etc. Experience applying machine learning to scientific, operational, or hardware systems for prediction, optimization, or anomaly detection. Experience with compiled languages such as Go or Rust.
Principal/Senior Software Engineer, Mobile, CEX
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Team The CEX Trading Mobile Team sits at the heart of OKX 's flagship exchange product, owning the trading experience for millions of users worldwide. We build and scale the real-time market data infrastructure that powers the OKX App — from live quotes and K-line charting to the full suite of trading scenarios that traders rely on every day. As a team, we care deeply about engineering quality: we hold high standards for technical architecture, move fast without cutting corners on stability or performance, and invest consistently in growing our craft through knowledge-sharing and technical training. We're now at an exciting inflection point, actively integrating AI into our product and engineering workflows — exploring how large language models, on-device inference, and intelligent agents can reshape the trading experience. If you're energized by solving hard technical problems at scale, working in a fast-moving market that never sleeps, and driving real innovation in one of the world's leading crypto platforms, this is the team to be on. What You'll Be Doing - Owning the technical design and delivery of trading market data features for the OKX App — including real-time quotes, K-line charts, and related scenarios: Leading the team through product development, optimization, and ongoing maintenance. - Participate in product requirement discussions, define well-reasoned technical solutions, and safeguard product performance, stability, and user experience. - Stay deeply informed on industry trends, continuously refine the technical architecture, and drive the growth of the team's engineering capabilities. - Organize and take part in technical training and knowledge-sharing sessions to elevate the team's overall technical proficiency. - Coordinate cross-functional resources to keep projects on track and on quality, ensuring smooth, high-quality feature launches. - Continuously improve the user experience, performance, and architecture of the modules under your ownership. - Lead the team in exploring the integration of AI into business scenarios, driving product and technology innovation. What We Look For In You - Hands-on AI engineering/pipeline development experience — Solid understanding of LLM fundamentals, Prompt Engineering, RAG, and core Agent concepts; proven practical experience delivering AI engineering solutions, including building complete AI workflows/pipelines from the ground up. - Track record of leading mid-to-large-scale projects end-to-end — High standards for technical architecture and engineering quality. - Trading business background — Client-side development experience at a crypto exchange, brokerage, or fintech app; familiarity with core domains such as order matching, market data display, and asset management. Nice-To-Haves - Native iOS or Android development background — Solid mobile engineering foundation with knowledge of mainstream platform architecture, performance optimization, and release processes. - Client-side team management experience — Has led a client-side team of 5 or more; capable of mentoring, cross-team collaboration, and technical review. - On-device AI or cross-platform experience — involve on-device AI inference, multimodal client features, or cross-platform architecture with Flutter / React Native. Perks & Benefits - Competitive total compensation package - L&D programs and Education subsidy for employees' growth and development - Various team building programs and company events - Wellness and meal allowances - Comprehensive healthcare schemes for employees and dependants - More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .
Senior/Staff Software Engineer, Liquidity Platform
Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Liquidity Platform The Liquidity Platform provides cutting-edge technology that covers all aspects of crypto trading. We build low-latency connectivity to global crypto venues — across both CeFi and DeFi — strategy services for automated pricing and trading bots, high-frequency data capture and analysis, and state-of-the-art micro frontends for trading management. On top of this infrastructure, we build highly customized strategies to facilitate crypto liquidity. Our engineering teams own the full trading lifecycle, from venue connectivity and execution to strategy, data, risk, and analytics. Our risk solutions are independent of trading logic, decoupled by design, and connected to 20+ trading venues across spot, derivatives, and event-contract markets. If you are a strong technologist excited about the potential of crypto trading and fully-automated systematic trading, we should talk. About the Role We are hiring software engineers across the Liquidity Platform’s engineering teams. You will design, build, and operate the systems that price, execute, monitor, and safeguard our liquidity-providing business 24/7. You will work closely with liquidity managers, product managers, and desk developers — developing strategies, services, and infrastructure using in-house toolkits — while growing capabilities in inventory and risk management, strategic problem solving, cross-functional collaboration, and effective communication. These roles are open to Senior and Staff-level candidates; scope and title are calibrated based on experience and impact. Specializations span Delta One Systematic Trading, Cash OTC, Option Market Making, Trading Infra Service, Data Engineering and Risk & Analytics. What You’ll Be Doing - Design, build, and operate scalable, fault-tolerant, low-latency trading infrastructure and microservices that handle 24/7 crypto market operations. - Build and maintain connectivity to centralized exchanges, DeFi venues, and counterparties using FIX 5.0+, WebSocket, HTTP/2, and REST — handling the real-world complexities of external integrations and on-chain data. - Develop and maintain core services across the trading lifecycle: strategy and execution engines, automated pricing and trading bots, order execution and position tracking, trade & position data platforms, and risk & analytics systems. - Architect and optimize high-throughput order execution with sub-millisecond latency targets, and build real-time market-data pipelines aggregating order books and price feeds across multiple venues. - Implement pre-trade risk controls, circuit breakers, rate limiters, position/PnL and risk calculations, automated alerting, and high-availability architecture. - Implement robust monitoring, alerting, and auto-recovery so strategies remain stable, scalable, and self-healing in a 24x7 trading environment. - Build trusted data models, reconciliation workflows, and data-quality controls with clear lineage, reproducibility, and documentation — delivering outputs for the trading desk, Finance, and Operations. - Profile and eliminate latency hotspots using garbage-free coding and lock-free concurrency; continuously improve system performance and user experience. - Collaborate with liquidity managers, product managers, desk developers, risk, finance, and operations to design, implement, and roll solutions into production. - Conduct code reviews, mentor junior engineers, and uphold scalability, resiliency, maintainability, and security best practices across all development activities. What We Look For In You - STEM foundation: Bachelor’s degree or above in Computer Science, Engineering, Mathematics, Physics, or a related technical discipline; a combined finance background is advantageous. - Experience: Typically 3–8 years in software or data engineering (level-dependent), ideally with exposure to trading, OMS, middle/post-trade, or latency-sensitive systems. - Languages: Strong proficiency in one or more of Java (17+), Rust, C++, or Python, with a focus on code quality and operational reliability. - Systems: Strong understanding of high-performance, low-latency distributed systems, multi-threaded/concurrent programming, and — where relevant — JVM internals and GC behavior. - Connectivity & protocols: Hands-on experience with FIX 5.0+, WebSocket, HTTP/2, and REST APIs, plus network protocol and TCP/UDP optimization. - Data & messaging: Strong SQL (MySQL, PostgreSQL — schema design and performance tuning); experience with Redis and Kafka. - Infrastructure: Comfortable in Linux/Unix environments; familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, AliCloud, GCP) and on-premise infrastructure. - Markets: Understanding of market microstructure, order lifecycle, and core trading concepts such as PnL, margin, leverage, and market risk. - Mindset: Strong analytical thinking, ownership, and attention to detail; able to work effectively under pressure in a fast-paced environment; a controls mindset around data quality and reproducibility. - Communication: Excellent communication and collaboration skills across business and technical teams; fluency in English required, with Chinese/Mandarin a strong plus for global, cross-functional work. - Passion: Genuine interest in crypto markets, blockchain, and the broader financial industry, and a drive to keep learning new technologies. Nice to Haves - Prior experience in proprietary trading, market making, quantitative research, or front-office technology at exchanges, banks, or investment institutions. - Experience with execution algorithms (TWAP, VWAP, iceberg, sniper, smart order routing) and backtesting / strategy-simulation frameworks. - Low-latency tooling and IPC: Aeron, Chronicle Queue, Disruptor, shared-memory messaging, Agrona Collections, Protocol Buffers, SBE. - Frameworks and libraries such as Spring, Netty, and Vert.x. - Modern data platforms (Spark/PySpark, Iceberg, ClickHouse, InfluxDB), workflow orchestration (Airflow, Celery), and ML tooling (MLflow, TensorFlow). - Strong understanding of DeFi, blockchain, smart contracts, and crypto exchange APIs; exposure to event-contract / prediction markets. - Agentic programming fluency — hands-on use of AI coding tools (e.g., Claude Code, Codex) on real production work. - Risk and compliance experience; professional certifications such as CFA or FRM. Technical Environment - Languages: Java 17+, Rust, Python, C++ - Protocols: FIX 5.0+, WebSocket, HTTP/2, REST - Stack: Spring, Netty, Aeron, Chronicle Queue, Disruptor, Kafka, Redis, etcd, MySQL, PostgreSQL, InfluxDB, ClickHouse, Iceberg, Spark - Infrastructure: Linux/Unix, Docker, Kubernetes, CI/CD, AWS / AliCloud / GCP Team Specializations The Liquidity Platform comprises several engineering teams. Depending on your strengths and interests, you may join one of the following: - Delta One – Systematic Trading: Build cross-venue liquidity and market-making strategies with deep market-microstructure and execution-optimization focus. - Option Market Making: Build and operate automated option market-making strategies and pricing systems — managing volatility, greeks, and inventory risk while quoting continuously across crypto options venues. - Cash OTC: Develop and own OTC trading strategies and their production environment, partnering closely with liquidity and product managers. - Trading Infra Service: Build and maintain the core strategy engine and trading-infrastructure microservices on a distributed, enterprise-grade architecture. Deliver high-throughput, sub-millisecond order execution, market-data pipelines, and exchange connectivity. - Data Engineering: Own the trade & position platform end-to-end — venue connectors, the Python + SQL data model, reconciliation, and data-quality controls. - Risk & Analytics: Build a greenfield, next-generation risk platform — real-time risk monitoring, PnL/risk calculation, alerting, and circuit-breaking strategies. Perks & Benefits - Competitive total compensation package - L&D programs and Education subsidy for employees' growth and development - Various team building programs and company events - Wellness and meal allowances - Comprehensive healthcare schemes for employees and dependants - More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .
Senior Product Manager, AI Risk Strategy (Buy/Sell...
Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity Singapore based, we are looking for an experienced Senior Product Manager – AI Risk Strategy to lead the evolution of OKX Buy/Sell Crypto risk control capabilities. You will own the end-to-end risk strategy across transaction risk, fraud prevention, review operations and AI-powered decision making. At OKX, you will have the opportunity to build next-generation AI-native risk systems that protect millions of users worldwide. You will play a key role in redefining how AI Agents, Large Language Models and intelligent decision engines transform fraud prevention and operational efficiency across one of the world's leading crypto platforms. This role is highly data-driven and requires strong ownership. You will independently analyze risk data, identify fraud patterns, design and optimize risk strategies, and drive the transformation from traditional manual review to AI Agent-powered intelligent review. You will work closely with Engineering and Risk Operations teams to build scalable, intelligent and efficient risk systems. What You’ll Be Doing - Own the end-to-end risk strategy for Buy/Sell Crypto products, including transaction risk control, fraud prevention, review workflows and decision engines. - Design and continuously optimize the risk control architecture, including rule engines, policy engines, model orchestration and review systems. - Independently analyze large-scale transaction and risk data to identify fraud patterns, emerging attack vectors and strategy optimization opportunities. - Design, implement and iterate risk policies based on data-driven insights to improve fraud detection while minimizing user friction. - Define and optimize model policies, decision thresholds, confidence scores and human-in-the-loop review mechanisms. - Conduct root cause analysis, monitor risk performance and perform A/B testing to continuously improve strategy effectiveness. - Lead the transformation of manual review into AI Agent-powered intelligent review by designing LLM-driven workflows, reviewing policies and operational processes. - Drive continuous optimization of AI Agents through prompt engineering, policy iteration, feedback loops and model evaluation. - Improve operational efficiency by increasing automation, optimizing resource utilization and reducing manual review costs. - Partner closely with Engineering teams to deliver scalable, reliable and intelligent risk systems. What We Look For In You - Bachelor's degree or above in Computer Science, Artificial Intelligence, Engineering, Mathematics or a related discipline. - 5+ years of experience in Risk Strategy, Fraud Detection, Risk Product Management, Trust & Safety or related fields. - Strong experience designing transaction risk strategies, fraud detection systems or review platforms. - Proven ability to independently analyze large datasets, identify risk patterns and translate insights into effective risk strategies. - Strong SQL skills and hands-on experience with data analysis. Experience with Python, Spark or other analytical tools is a strong plus. - Experience designing and optimizing rule engines, policy engines, risk scoring or decision engines. - Strong understanding of fraud prevention, transaction risk, payment risk, account security or related risk domains. - Experience designing model policies, evaluation metrics and strategy iterations for machine learning or AI-based systems. - Hands-on experience with Large Language Models (LLMs), including prompt engineering, policy design, model evaluation and production iteration. - Experience designing or implementing AI Agent workflows, AI-assisted review systems or intelligent operational processes. - Strong analytical thinking with the ability to perform root cause analysis and make data-driven decisions. - Excellent problem-solving skills with a high level of ownership and execution. - Fluent in both English and Mandarin to support cross-functional collaboration in a global environment. Nice to Haves - Experience in cryptocurrency, fintech, payments, banking or internet risk control. - Experience building AI-native products or AI-powered operational systems. - Familiarity with Retrieval-Augmented Generation (RAG), agent orchestration, tool calling and model evaluation frameworks. - Experience with A/B testing, strategy experimentation and online/offline model evaluation. - Knowledge of AML, KYC, payment fraud, account takeover, scam prevention or identity risk. - Experience working with AI coding assistants or automation tools to improve product development efficiency. Perks & Benefits - Competitive total compensation package - L&D programs and Education subsidy for employees' growth and development - Various team building programs and company events - Wellness and meal allowances - Comprehensive healthcare schemes for employees and dependants - More that we love to tell you along the process! LI-ONSITE LI-WWW Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .
Product Manager, AI Agent & Harness
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. About the Role We're building the core Agent capabilities and Skill ecosystem for Binance Agentic. We're looking for a Product Manager with a strong AI and Web3 background to drive Agent product design, the Harness evaluation framework, end-to-end task validation, and continuous iteration. You'll need to understand both the capability boundaries of AI Agents and the nuances of Web3 / exchange business scenarios — and proactively rally engineering, business, operations, and partner teams to ship Agent-powered products. Responsibilities Agent Product Design: Own the design of Agent-related capabilities across Binance Agentic, including task flows, user interaction patterns, capability boundaries, failure fallbacks, and result feedback loops. Harness & Evaluation: Build and maintain the Harness framework — design test scenarios, define evaluation criteria, curate task sets, analyze performance, and drive actionable iteration recommendations. Cross-functional Delivery: Partner closely with Tech Owners, frontend engineers, and Skill design leads to break down business requirements into shippable, testable, production-ready product specs. Web3 Use Case Discovery: Map high-value, deployable Agent use cases across Web3 Wallet, Account, Payment, Trading, and other Binance business lines. Industry Tracking: Stay current on AI Agent, MCP, tool-calling, prompt engineering, and automated evaluation developments — and translate them into executable product initiatives for the team. Metrics & Quality: Define and track Agent performance metrics, including task success rate, user satisfaction, error rate, response quality, and tool-calling accuracy. Continuous Improvement: Proactively identify issues from real-world Agent usage and drive improvements across product, engineering, and operations. Requirements Experience in AI products, Agent products, AIGC applications, automation tools, or developer tooling. Background in Web3, exchanges, wallets, payments, on-chain transactions, DeFi, or crypto assets. Hands-on understanding of how AI Agents work — tool-calling, task planning, context management, and evaluation frameworks. Strong ownership and learning agility; able to define problems, decompose workstreams, and drive execution in ambiguous environments. Solid product fundamentals — clear PRDs, flow diagrams, test cases, acceptance criteria, and iteration plans. Excellent cross-team collaboration and communication skills across engineering, design, operations, and business stakeholders. Bonus Points: Experience with exchanges, Web3 wallets, on-chain trading, payments, or fintech products. Experience with AI Agent Harness, Eval, Benchmarking, automated testing platforms, or prompt evaluation. Familiarity with MCP, Function Calling, RAG, multi-Agent orchestration, or workflow automation. Knowledge of the Binance ecosystem or mainstream Web3 user scenarios. Strong English reading and writing skills, with the ability to keep up with global AI / Web3 product and technical materials.
Binance Accelerator Program - Product Manager AI A...
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means. About Binance Accelerator Program Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program HERE. Who may apply Current university students and recent graduates. *Terms of employment / engagement shall be subject to contract and local applicable laws About the Role We're building the core Agent capabilities and Skill ecosystem for Binance Agentic. We're looking for a Product Manager Intern with a strong interest in AI and Web3 to support Agent product design, the Harness evaluation framework, end-to-end task validation, and continuous iteration. As an intern, you'll work alongside our PM team to explore how AI Agents can solve real Web3 problems — gaining hands-on experience in product design, evaluation frameworks, and cross-functional delivery within a fast-moving crypto exchange environment. Responsibilities Shadow and assist in designing Agent-related capabilities across Binance Agentic, including task flows, user interaction patterns, capability boundaries, failure fallbacks, and result feedback loops. Harness & Evaluation Help build and maintain the Harness framework — contribute to test scenario design, evaluation criteria, task set curation, performance analysis, and iteration recommendations. Cross-functional Collaboration Partner with Tech Owners, frontend engineers, and Skill design leads to learn how business requirements are broken down into shippable, testable, production-ready product specs. Web3 Use Case Research Research and map high-value, deployable Agent use cases across Web3 Wallet, Account, Payment, Trading, and other Binance business lines. Industry Tracking Stay current on AI Agent, MCP, tool-calling, prompt engineering, and automated evaluation developments — and translate insights into product ideas for the team. Metrics & Quality Assist in defining and tracking Agent performance metrics, including task success rate, user satisfaction, error rate, response quality, and tool-calling accuracy. Continuous Improvement Help identify issues from real-world Agent usage and support improvements across product, engineering, and operations. Requirements Currently pursuing or recently completed a degree in Computer Science Strong interest in AI products, Agent products, AIGC applications, automation tools, or developer tooling. Interest in or exposure to Web3, exchanges, wallets, payments, on-chain transactions, DeFi, or crypto assets. Basic understanding of how AI Agents work — tool-calling, task planning, context management, or evaluation frameworks (coursework, projects, or self-study all count). Strong ownership and learning agility; comfortable navigating ambiguity and picking things up quickly. Solid product fundamentals — able to write clear PRDs, flow diagrams, test cases, and acceptance criteria (even at a learning level). Excellent communication skills across engineering, design, operations, and business stakeholders. Bonus Points Personal projects or coursework related to AI Agents, prompt engineering, or LLM applications. Experience with or exposure to exchanges, Web3 wallets, on-chain trading, payments, or fintech products. Familiarity with MCP, Function Calling, RAG, multi-Agent orchestration, or workflow automation. Knowledge of the Binance ecosystem or mainstream Web3 user scenarios. Fluency in English is required to be able to coordinate with overseas stakeholders and effectively review and keep up with global AI and Web3 product and technical materials. Additional languages would be an advantage.
Binance Accelerator Program - AI Search Product Ma...
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means. About Binance Accelerator Program Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program HERE. Who may apply Current university students and recent graduates. *Terms of employment / engagement shall be subject to contract and local applicable laws Responsibilities 1. AI Products: Work as a core member on company-level AI initiatives, from concept to launch — covering industry research, product definition, prototype review, user testing, and post-launch data analysis. 2. Defi (Stablecoin) Products: Track market trends, leading competitors, and on-chain data; produce decision-ready research memos. Contribute to product design, write PRDs, follow projects through development and launch, and support early-stage ecosystem partnership conversations. 3. Cross-Functional Proeject Management: Act as a key coordinator across multiple parallel workstreams — driving alignment on goals, pacing, and risks to keep complex projects on track. 4. Decision Support: Help produce internal and external materials, bilingual (CN/EN) writing and translation, and industry/data insights that feed directly into business decisions. 5. Use AI tools (Claude, Cursor, etc.) as a daily working habit to scale personal output. Requirements 1. Currently enrolled in Finance or Computer Science (or related); senior undergrad or graduate students preferred. Dual-degree (Finance + CS / AI) is a plus. 2. Fully bilingual in Chinese and English — able to write memos, emails, and meeting notes independently in both languages and switch fluently in bilingual settings. 3. Genuine interest and basic understanding. Hands-on trading or on-chain experience preferred — able to clearly articulate what you've used and the reasoning behind your decisions. 4. Active interest and hands-on exploration in AI, with demonstrable personal projects, demos, writing, or GitHub work. Background in HCI or big-data analytics is a plus. 5. Self-directed and structured — able to break down ambiguous problems and move forward independently, with consistent output in a fast-paced environment. 6. Strong communication and coordination skills — able to keep information and progress flowing across multiple teams. Nice to Have 1. Entrepreneurial experience, leadership in student organizations, or large-scale event coordination. 2. Prior internships at top tech companies, financial institutions, or Web3 projects. 3. Public research or writing output (industry reports, in-depth posts, newsletters, etc.). 4. Your own perspective on the Defi space or major crypto products.
Principal/Senior Product Manager, AI & Web3 Wallet
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity What You’ll Be Doing - Drive the integration of Agentic Wallet infrastructure across emerging chains, protocols, and AI-native ecosystems, collaborating closely with BD teams to unlock strategic partnerships. - Explore and analyze AI Economy trends, identifying opportunities to position wallets as the core execution and value layer for AI Agents. Stay ahead of AI × Web3 convergence trends, contributing to long-term product vision. - Build strong connections with the developer community to promote wallet services among public chain developers, increasing integration and usage rates. - Develop user growth strategies for Web3 Wallets to enhance user retention and activity levels. - Monitor user growth data, analyze user behavior, optimize product experience and growth strategies, and improve conversion rates. - Collaborate closely with the R&D team to manage the product iteration process, ensuring it follows the planned schedule. - Engage in in-depth discussions about business scenarios and technological trends to ensure the product's applicability and foresight. What We Look For In You - Bachelor's degree or higher. - Over 2 years of experience in Web3 chains or Web3 wallets, along with 2+ years as a product manager in a large internet company. - Strong ability to abstract and simplify complex problems, utilizing first-principles thinking; adept at systematic thinking and innovative problem-solving. - Excellent project management skills, capable of driving cross-team collaboration and ensuring timely delivery of technical solutions. - Strong resilience under pressure, with outstanding communication skills and flexible thinking. - A keen interest in Web3, with a sharp awareness of industry trends. Perks & Benefits - Competitive total compensation package - L&D programs and education subsidy for employees' growth and development - Various team building programs and company events - Wellness and meal allowances - Comprehensive healthcare schemes for employees and dependants - More that we love to tell you along the process! LI-MX1 LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .
(Senior) Data Infra Product Manager, On Chain (Alg...
Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity As an Infra Product Manager focused on Algorithm and Search, you will be responsible for the deep, high-quality delivery of core Web3 Infra components — primarily the algorithm platform, search system, and related AI capabilities that serve Wallet, DEX, and other businesses. You will work closely with engineering, data, and data science teams to ensure that core problems are solved correctly, that products meet stringent performance, accuracy, and scalability bars, and that every release is reliable and production-grade. This role demands strong execution discipline, technical depth, and the ability to drive complex algorithmic and search problems from design through delivery. What You’ll Be Doing - Algorithm Platform Development: Design and iterate the algorithm platform supporting on-chain data analytics, trading signal discovery, risk control, and recommendation scenarios. Own the full lifecycle of algorithm models — integration, evaluation, deployment, monitoring, and iteration — to ensure efficient and reliable outputs. - Web3 Search System: Drive the product design and continuous optimization of the Web3 search system (across tokens, addresses, NFTs, transactions, protocols, and more). Improve relevance, recall, latency, and ranking quality through close collaboration with search and data engineering teams. - AI Integration: Embed AI capabilities (AI Agent, LLM, embedding / vector retrieval) into algorithms and search products to deliver smarter on-chain intelligence and trading experiences. Validate model effectiveness, fine-tune, and productionize. - Onchain Data and Smart Contract Analysis: Conduct deep research on smart contracts, protocol mechanics, and on-chain behaviors. Translate protocol-level insights into algorithmic features, search signals, and product improvements. - Quality & Delivery Excellence: Own end-to-end delivery quality — from spec, to dev, to QA, to launch, to post-launch metrics. Build robust evaluation, monitoring, and iteration loops to ensure long-term product health. What We Look For In You - Education: Bachelor's degree or above in Computer Science, Software Engineering, Statistics, or a related field. - Work Experience: 5+ years of Product Manager experience. Strong preference for candidates with hands-on experience in algorithm platforms, search / recommendation systems, or AI products. Web3 industry experience is a plus. - Technical Skills: - Solid understanding of algorithm platforms, ML model lifecycles, evaluation metrics, and offline/online experimentation. - Hands-on experience with search systems (indexing, ranking, relevance, retrieval) is highly valued. - Proficiency in AI technology, AI Agent, LLM, embedding / vector retrieval, and AI application experience. - Experience with blockchain fundamentals, smart contracts, on-chain data analysis, consensus mechanisms, and cross-chain technologies. - Familiar with onchain and Web3 ecosystems, with active engagement in the crypto community. - Soft Skills: - Strong execution discipline, attention to detail, and ownership over delivery quality. - Strong problem-solving skills, with the ability to break down complex algorithmic / search problems into solvable pieces. - Excellent communication and collaboration skills with engineering, data, and data science teams. - Fluent in English and Chinese. Nice to Haves - Knowledge of Web3-related products and deep technical understanding of blockchain, smart contracts, and related technologies. - Experience with on-chain trading and an understanding of on-chain opportunity discovery processes. - Familiarity with tokenomics and an understanding of economic incentive mechanisms in the Web3 space. Perks & Benefits - Competitive total compensation package - L&D programs and Education subsidy for employees' growth and development - Various team building programs and company events - Wellness and meal allowances - Comprehensive healthcare schemes for employees and dependants - More that we love to tell you along the process! LI-MX1 LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .
Software Engineer - Physical AI
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co http://applied.co. We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions ABOUT THE ROLE Applied Intuition is rapidly scaling its defense product ecosystem in Ann Arbor! We're looking for talented software engineers at all levels who are ready to work on some of the hardest challenges in simulation, tooling, and autonomy infrastructure for physical AI. You'll be a core contributor to Axion, our flagship defense data and tooling platform, building the systems that unify developers and operators in a shared digital environment — accelerating testing, integration, and deployment across all domains. This is not a maintenance role. You'll design, implement, and own software that runs at the edge of what's technically possible, in environments where the stakes are real. The team sits at the intersection of Applied Intuition's commercial technology velocity and defense-grade requirements, giving you access to a rapidly evolving product suite and direct real-world impact. You'll work in small, high-ownership teams where your code ships, your decisions matter, and your contribution to national security is tangible. AT APPLIED INTUITION, YOU WILL: - Design and implement high-performance software in C++ for Axion, Applied Intuition's defense tooling and data platform - Build and extend simulation environments and virtual worlds that enable autonomous systems to be tested and validated before real-world deployment - Develop scalable infrastructure that supports multi-domain autonomous operations — from unmanned ground and aerial platforms to broader joint-force integration scenarios - Partner with autonomy researchers, product teams, and defense customers to translate mission requirements into robust, mission-ready software solutions - Own end-to-end execution of engineering workstreams; from architecture through deployment - Contribute to the San Diego site's rapid buildout, helping shape team culture, technical standards, and engineering practices as we scale - Interface with DoD programs and defense customers to ensure solutions meet real-world operational demands WE'RE LOOKING FOR SOMEONE WHO HAS: - 3 + years of professional software engineering experience, with strong C++ at the core - Bachelors in Computer Science or similar field of study - Experience with Unreal Engine or other real-time simulation/game engine environments (e.g., Unity, Gazebo, or custom simulation stacks) - Solid software engineering fundamentals: systems programming, concurrency, performance optimization, and real-time rendering or simulation pipelines - Genuine interest in simulation, autonomy, robotics, or physical AI — you want to understand how your software connects to machines operating in the real world - Exposure to or curiosity about multi-domain defense systems — you don't need a defense pedigree, but you're excited to develop one - Strong CS/CE/EE (or similar) foundation; you think rigorously about correctness and performance - Python proficiency for tooling, scripting, and integration work - Comfort with ambiguity; you drive clarity and progress in fast-moving, high-stakes environments - Excellent communication skills; you can explain hard technical tradeoffs to both engineers and non-technical stakeholders NICE TO HAVE: - Prior work in simulation for autonomy, robotics, gaming, or defense applications - Familiarity with sensor simulation, synthetic data generation, or physics-based environments - Experience with distributed systems or real-time data pipelines in constrained environments SECURITY REQUIREMENTS: - Must be a U.S. Citizen - Must hold or be eligible for a U.S. Secret security clearance For more information about U.S. security clearances: click here https://www.state.gov/securityclearances. Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws. FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact careers@applied.co. We will work with you!
Pipeline Engineer (Graphics/3D)
ABOUT WORLD LABS World Labs https://www.worldlabs.ai/ is a frontier AI research and product company advancing spatial intelligence, the next frontier beyond large language models. Co-founded by Dr. Fei-Fei Li https://profiles.stanford.edu/fei-fei-li, Justin Johnson https://www.linkedin.com/in/justin-johnson-41b43664/ and Ben Mildenhall https://www.linkedin.com/in/ben-mildenhall-86b4739b/, the company is pioneering world models that perceive, generate, reason, and interact with virtual and physical worlds. The company’s flagship product, Marble https://marble.worldlabs.ai/, transforms text, images, and video into fully navigable 3D worlds, unlocking applications across gaming, film, architecture, robotics, and immersive digital experiences. Backed by leading investors and with over $1B raised, World Labs is assembling a world-class team at the intersection of AI research and real-world deployment. ROLE OVERVIEW We are building a production-grade web application for 3D Gaussian Splat scene generation, editing, and publishing, and we’re looking for a Pipeline Engineer to help integrate cutting-edge research features and make them reliable, debuggable, and delightful to use. This is a high-ownership, fullstack-but-backend-heavy role that sits between R&D and frontend. You will work end-to-end across graphics/ML algorithms, backend services, and frontend UI — turning proof-of-concepts into shipped features that users can rely on. The ideal candidate enjoys making complex, messy systems work smoothly in production and improving them continuously based on both internal testing and external user feedback. KEY RESPONSIBILITIES - Bridge research and product by working closely with both graphics/computer vision researchers and frontend engineers to ship usable features. - Turn standalone Python scripts into clean, production-ready systems with clear inputs, outputs, validations, and failure modes. - Develop backend services, APIs, and tooling that expose complex 3D workflows in a reliable and scalable way. - Assist in integrations across the 3D ecosystem, including asset import/export and format conversion with common DCC tools. IDEAL CANDIDATE PROFILE - You have a strong pipeline mindset, with experience turning scripts into production systems with clear inputs, outputs, validations, and failure modes. - You enjoy building tools and infrastructure that enable others, and you take pride in making complex systems understandable and usable. - You have fluency in the 3D ecosystem, including familiarity with 3D algorithms, DCC tools and common 3D file formats, sufficient to design integrations and debug workflow issues. MINIMUM QUALIFICATIONS - Strong proficiency in Python, including packaging, typing, tooling, debugging, and performance profiling. - Strong literacy in core 3D graphics and computer vision concepts, such as transforms, cameras, coordinate systems, rendering, and visual artifact debugging. - Demonstrated experience taking prototypes to production, including refactoring, testing, CI/CD, versioned artifacts, and reproducibility. - Solid backend fundamentals, including HTTP APIs, FastAPI (or similar frameworks), async/concurrency basics, cloud deployment, and service reliability. STRONGLY PREFERRED / NICE-TO-HAVES - Experience with photogrammetry, 3D reconstruction, or Gaussian splat rendering pipelines. - Hands-on experience with DCC tools such as Blender, Maya, Houdini, Unreal, or Unity. - Familiarity with the GPU stack (CUDA, PyTorch), batch/queue systems, and containerization (Docker, Kubernetes). - Frontend adjacency, with comfort collaborating on React-based parameter plumbing and UX for technical controls. - Experience with production pipelines at VFX, animation, or gaming studios. - A production support mindset, including willingness to iterate on documentation, tutorials, and error messages to improve usability and reduce misuse. EXAMPLE PROJECTS YOU MIGHT WORK ON - Packaging ML and 3D Python pipelines into GPU-backed FastAPI services with request validation, reproducible outputs, and well-defined request/response schemas. - Designing parameter schemas and defaults that map cleanly from frontend controls to backend APIs and internal pipeline configurations. - Integrating import/export workflows with popular DCC tools (e.g., Blender, Maya, Houdini, Unity, Unreal, USD), identifying workflow friction, and producing lightweight documentation, tutorials, and example code/scripts to help users succeed. WHO YOU ARE - Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible. - Resilient Builder: Impacting Large World Models isn't a sprint; it's a marathon with hurdles. We're looking for builders who can weather the storms of groundbreaking research and come out stronger. - Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people. - Collaborative Spirit: We're building something bigger than any one person. We need team players who can harness the power of collective intelligence. We're hiring the brightest minds from around the globe to bring diverse perspectives to our cutting-edge work. If you're ready to work on technology that will reshape how machines perceive and interact with the world - then World Labs is your launchpad. Join us, and let's make history together. Logistics: Location: This role is based in San Francisco, California; we work in-person in the office 5 days a week. Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. Benefits: We offer generous health, dental, vision and 401K benefits, flexible PTO, paid parental leave, and relocation support as needed. Equal Employment Opportunity World Labs is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected under applicable law. We welcome all qualified applicants and are committed to providing reasonable accommodations throughout the hiring process upon request.
Product Manager: Console
ABOUT CODERABBIT CodeRabbit is the leading AI code review platform, trusted by more than 17,000 customers and 150,000 open-source projects, conducting over 2 million code reviews each week. We build the symbiotic partnership between developers and AI that makes shipping fast software safe again, reviewing every pull request, IDE change, and CLI commit so teams can move quickly without breaking things. We are a fast-moving, well-funded company, fresh off a $143M Series C at a $1.5B valuation — building Agentic Change Management, the control layer for software changes created by humans and agents. As AI writes more of the world's code, the bottleneck moves from implementation to judgment and helping human judgment scale is exactly the problem we exist to solve. ROLE OVERVIEW We're hiring a strong, hands-on Product Manager to own the application side of the CodeRabbit Management Console, the surfaces every customer touches to set up, configure, control access to, and pay for CodeRabbit. This is a high-ownership IC role with a clear path to build and lead a team once you've settled in and proven impact. You'll own organization settings, review configuration, role-based access control, billing and subscriptions, and the onboarding experience. Getting these right is foundational to our move upmarket and to our growth. This isn't an AI-glamour role. It's a complex, technically demanding, and deeply important one. We want someone who sees that clearly and is excited by it, not someone chasing the next shiny AI feature. WHAT YOU'LL OWN CONSOLE, SETTINGS & CONFIGURATION - Own the end-to-end product experience for organization-level settings, team management, and review configuration - Make complex configuration understandable and accessible for both technical admins and non-technical buyers, without dumbing it down - Work closely with engineering to define APIs, UI flows, and data models for configuration that scale across teams, repos, and deployment types ACCESS CONTROL: RBAC & CUSTOM ROLES - Own the permission model end to end: define the roles, scopes, and capabilities that govern who can see and do what across settings, configuration, billing, and member management - Ship custom roles so admins can define their own permission sets rather than being boxed into our defaults, the table-stakes capability that unblocks larger, more security-conscious buyers - Get permission granularity and scoping right: org-level vs. team-level vs. repo-level access, and the inheritance and override behavior between them - Own audit logs and access trails, who changed what and when, as both an enterprise requirement and a pillar of our security and compliance posture - Treat least-privilege defaults, clear permission surfaces, and "no surprises" access behavior as core to the design, not afterthoughts BILLING & SUBSCRIPTION MANAGEMENT - Own the billing product: pricing display, plan management, seat-based licensing, upgrades and downgrades, and invoicing - Reduce friction in the purchase and upgrade path; design self-serve flows with correct proration, and partner with Growth and Sales on conversion and expansion - Own plan entitlements and feature gating, the mapping between what someone pays for and what they can actually use, kept consistent across the whole app - Handle the subscription lifecycle edge cases that quietly break trust: seat reconciliation and true-ups, renewals, failed payments and dunning, downgrades, and mid-cycle changes - Support enterprise purchasing: annual contracts, PO-based and offline billing, tax and invoicing requirements - Partner with Finance and Engineering on lifecycle correctness, and own the relationship with our billing infrastructure (Stripe, Chargebee, or similar) ONBOARDING & ACTIVATION - Own the onboarding wizard and first-run experience for new organizations and individual users - Drive activation metrics: time-to-first-review, time-to-team-invite, and setup completion rates - Identify and eliminate the top drop-off points in the setup funnel WHO YOU ARE - 5+ years of product management experience, ideally at a B2B SaaS or developer tools company - Technically fluent. You can read code, understand APIs, and have detailed conversations with engineers without a translator - Track record of owning complex, multi-stakeholder product areas such as admin consoles, permissions/RBAC systems, or billing systems, where correctness and edge cases matter as much as the happy path - Strong instincts for simplifying complex configuration and access experiences without dumbing them down - Comfortable with ambiguity; can move from fuzzy problem to clear spec without hand-holding - You write well and communicate precisely. PRDs and tickets you've written are things you're proud of - Low ego, high ownership. You care about the outcome more than the credit NICE TO HAVE - Prior experience at a developer tooling, DevOps, or code intelligence company - Direct experience with RBAC, permissions, or identity/access systems, designing role models, scopes, and audit logging - Experience with billing infrastructure (Stripe, Chargebee, or similar) and subscription lifecycle mechanics - Familiarity with multi-tenant SaaS architectures, and with audit/compliance requirements (SOC 2 and similar) - Working knowledge of Git platforms (GitHub, GitLab, Bitbucket, ADO) as a power user or PM - You've worked with or alongside a small, high-output engineering team and know how to match their pace WHAT THIS ISN'T We'll be upfront: this role isn't primarily about building AI features. If what excites you most is prompt engineering, model evaluation, or shipping AI-native UX, this probably isn't your best fit right now. What it is: one of the most important, highest-leverage product bets we're making. The companies that win in developer tooling are the ones who nail the unglamorous stuff, setup, configuration, access control, billing, and trust. We need someone who genuinely believes that. WHO YOU'LL WORK WITH You'll partner closely with our engineering leads (frontend, backend, SRE), the head of design, and with Finance, Growth, and Sales on the billing and activation surfaces. You'll report into Product leadership and work alongside a tight-knit, high-output India engineering team that moves fast and expects the same from product. OUR VALUES 1. 🤝 Collaborative Humans: Prioritizing collective intelligence 2. 🚀 Fearless Innovators: Turning obstacles into growth opportunities 3. 💪 Persistent, Passionate Developers: Thriving on complex, long-term challenges 4. 🎯 Impact-Driven Creators: Crafting intuitive tools for developers 5. 🧠 Rapid Learners and Un-learners: Adapting quickly in our fast-paced technological world WHAT WE OFFER 1. Work on cutting-edge technology with real-world impact 2. Collaborative and innovative environment 3. Competitive salary, equity, and benefits 4. Professional development opportunities To apply, submit your resume and relevant project samples or GitHub profiles. CodeRabbit is an equal-opportunity employer committed to diversity and inclusion.
Senior Product Manager, Teleoperation
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. We operate at the cutting edge of Applied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better. JOB SUMMARY You will focus on driving the product vision, ensuring seamless execution across the complex hardware/software divide, and translating market demands into user oriented, executable product roadmaps. You will own the teleoperation product: a first-rate interface for teleoperated data collection, serving both our data collection environment and customers who want to improve fleet performance. You will draw on virtual reality / XR experience and a human factors background to create interfaces genuinely suited to the operators who use them, maximizing data throughput and quality while keeping operators effective, comfortable, and safe. ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES - Own and maintain the Teleoperation roadmap: scope, sequencing, and feature priorities across the operator interface, data collection workflows, and customer fine-tuning workflows. - Define requirements for the teleoperation interface — VR/XR rigs, control mappings, haptic and visual feedback, and situational-awareness displays — in partnership with design and engineering. - Apply human factors rigor to the operator experience: cognitive load, fatigue, ergonomics, latency tolerance, embodiment mismatch, motion sickness, learnability, and time-to-proficiency. - Partner with Data Collection operations to maximize teleoperated data collection throughput and quality. - Connect operator experience to training outcomes: define the metrics that tie interface quality to the quality of demonstrations used for robot learning. - Define and own the customer-facing fine-tuning workflow for deployed robots, including permissioning, safety controls, and operation over real-world networks. - Define product features/enhancements and communicate requirements to engineering teams via clearly written requirements documents, diagrams, and concise verbal communication. - Prioritize use cases based on business impact, feasibility, and customer needs, and ensure product development efforts align with real-world economic value for customers. - Partner with UX, UX Research, and industrial design to validate and refine operator interfaces before deployment. - Synthesize insights from operator feedback, usage data, customer meetings, and data-quality metrics into a strategy that delivers business objectives. SKILLS AND REQUIREMENTS - Complex real-time operator interface or HMI experience under latency/safety constraints, or immersive interface products - Background in human factors, HCI, or applied ergonomics — you understand how to design interfaces suited to operators, and how to measure operator performance and comfort. - Experience with teleoperation or remote operation of physical systems (robots, vehicles, drones, or similar). - Strong analytical skills with experience in performance tracking and data-driven decision-making. - Excellent communication skills, both verbal and written, enabling translation of technical insights into business impact. - You make decisions in uncertainty, prioritizing velocity over perfection. - You prioritize operator and user feedback, promoting and advocating for that voice to internal teams. NICE TO HAVE - Familiarity with robot learning data pipelines — imitation learning, demonstration quality, and what makes teleoperated data useful for training. - Experience working with customers in light and heavy duty industrial environments. - Experience deploying products into industrial or warehouse environments. EDUCATION and/or EXPERIENCE - At least 7 years of experience in product management. Bachelor’s in HCI or Engineering preferred - Experience in human factors, HCI, cognitive science, or a related field. - Experience with motion capture, hand tracking, or haptic input devices. - Experience with autonomous robots or autonomous vehicles. PHYSICAL REQUIREMENTS - Prolonged periods of sitting at a desk and working on a computer - Must be able to lift 15 pounds at times - Vision to read printed materials and a computer screen - Hearing and speech to communicate - Ability to wear and operate VR/XR headsets and teleoperation rigs for evaluation purposes *This is a direct hire. Please, no outside Agency solicitations. Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Wargaming Research Systems Specialist (Game Design...
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. The Advanced Capabilities team at Anduril develops operationally relevant wargaming and training to customers in multiple regions. This position is in a new simulation center in Abu Dhabi to provide training and simulation services to partners and customers in the region. ABOUT THE JOB We are looking for a Wargame Designer to join our growing team in Abu Dhabi, UAE . Initial role will be in London, UK , while the simulation center is being constructed. In this role, you will: WHAT YOU'LL DO - Research, design, and develop operationally relevant wargames within the Air Maneuver Dominance / Advanced Capabilities team, working directly with EDGE and the Emirati Ministry of Defense to translate customer objectives and operational problems into structured, immersive wargames built in Anduril’s own proprietary modeling and simulation tools and Augmented Reality / Virtual Reality software. You will own scenario design end-to-end, including operational context, orders of battle, friendly and adversary forces, objectives, timelines, victory conditions, and the analytic questions each event is meant to answer. - Run and facilitate in-depth multi-day Wargaming Exercises, serving as the designer and control cell lead for planning, preparation, execution, and recovery. You will drive game play, adjudicate outcomes, manage friendly and opposition moves and injects, and adapt scenarios in real time to keep events challenging, credible, and aligned to customer learning objectives. - Build and maintain a reusable library of wargame scenarios, models, and content in Anduril M&S and AR/VR software, refining and improving processes across our Software, Hardware, Logistics, Growth, and Engineering teams so that events can be rapidly configured, repeated, and scaled from small demonstrations to large exercises without loss of fidelity. - Design and implement structured After-Action Reviews and user feedback loops to gather, triage, and prioritize insights, requirements, and challenges surfaced during wargames, exercises, and daily corporate demo use, and turn those findings into concrete improvements to scenarios, adjudication logic, and event delivery. - Provide input to product and engineering teams to drive the development of features, models, and configurations that enhance or greatly improve Anduril’s wargaming, mission simulation, and Virtual Warfare products while you advocate for the tools and content designers need to build better wargames faster. - Support end-users in understanding advanced warfare concepts through the development of relentlessly improving wargame content, integration into existing Anduril and customer systems, and delivery of effective events that maximize engagement and learning while minimizing the impact of hardware or software issues on the experience. - Develop and contribute to an Advanced Capabilities team that includes cross-functional representation from Project and Program Managers, Operations Analysts, Mission Simulation Engineers, Wargaming Engineers, Design/Artists, senior Air Maneuver Dominance team and corporate leadership, other business lines, as well as customers. You will be critical to ensure the team continues to improve, refine, and streamline how wargames are designed, delivered, and learned from across both small-scale demos and large-scale exercises and events. REQUIRED QUALIFICATIONS - Proven experience designing, developing, and running wargames, structured analytic exercises, or operational training scenarios across a diverse set of clients, teams, roles, and operational environments while providing excellent customer service to the Air Maneuver Dominance business line (primary) as well as additional business lines (Secondary). - Demonstrated comfort communicating effectively both internally and externally: on the team, as well as across Anduril’s many other business lines, software platforms, organizations and clients. - Experience with scenario design, complex problem solving, proactive planning, rehearsals, and troubleshooting to ensure a seamless, transparent customer experience. Successful teammates have demonstrated a level of ‘healthy paranoia’ that borders on OCD-level attention to detail and obsession with ensuring the wargame plausible, repeatable, controllable, and without breaking, before putting customers inside Anduril’s immersive wargaming and VR/AR world. - Eligible to obtain and maintain associated country background check and security clearance to support increasingly complex and potentially classified exercises. - Willingness to travel, be based in the UAE, and participate in collaboration with teammates in the UK and USA. PREFERRED QUALIFICATIONS - Experience designing and building wargames or simulations in government or civilian wargaming or simulation software such as AFSIM, SIMDIS, DCS, or comparable constructive, virtual, or gaming-engine platforms. - Experience and familiarity with military operations, tactics, techniques, procedures, and hierarchies for both friendly and adversarial forces. - Familiarity with Confluence, Jira, Slack, Quip, MS Office and Zoom as means to organize data and communicate across our teams effectively. - Experience building trust with clients and teammates quickly and effectively under sometimes stressful conditions. - Prior military or government experience, particularly in wargaming, operational planning, red teaming, or exercise design. The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Staff Technical Program Manager, Game Development
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM The Sand Table team at Anduril develops our revolutionary platform for visualizing future defense scenarios. We transform massive amounts of data into an intuitive, interactive 3D command center, serving as the visual interface for mission simulations, a key business development tool, and a powerful demonstration of our advanced capabilities to government and military leaders. We take ambitious ideas from concept to completion, building the core with high-performance C++ and enabling rapid feature expansion through modern scripting and plugin frameworks. The Sand Table team manages the complex logistics for delivering flawless augmented reality demonstrations in headset to critical stakeholders. As a cross-functional group of builders, strategists, and operators, we combine the creative energy of a top game studio with the rigorous discipline of national security to shape how the future of defense is visualized and understood. ABOUT THE ROLE We're looking for a Technical Program Manager to own execution for the Sand Table team—someone who will maintain our timelines, resolve dependencies, and keep everything on the rails towards final delivery. This is a high-agency role for someone who moves on things before being asked, anticipates problems before they materialize, and drives relentlessly toward outcomes. You will be the connective tissue between design, engineering, product, and key stakeholders, ensuring that our team ships high-quality, consistent releases on cadence while protecting the team's focus and momentum. You'll manage the full complexity of delivering a real-time 3D platform that spans C++ engine development, XR hardware integration, plugin frameworks, and live demonstrations to senior government and military leaders. This means coordinating across technical work-streams, managing the logistics of high-stakes demos, and ensuring that every release meets the bar our audience demands. You should be comfortable navigating ambiguity, operating with minimal direction, and building the processes and structures that allow a fast-moving team to scale without losing speed. WHAT YOU'LL DO - Own execution end-to-end. Drive the team's delivery cadence from planning through release. Maintain timelines, track milestones, and ensure the team consistently hits its commitments. You are the single point of accountability for "are we on track?" - Resolve dependencies and remove blockers. Proactively identify cross-team dependencies, external blockers, and resource constraints. Move decisively to resolve them—escalating when necessary, negotiating when possible, and always keeping the team unblocked. - Protect the team's time and focus. Clearly articulate blockers, risks, and work in progress to stakeholders so the team can stay heads-down on delivery. Serve as a shield against thrash and scope creep while ensuring legitimate priorities are addressed. - Drive high-quality, consistent releases. Help establish and maintain release processes that ensure every build meets quality standards. Coordinate across engineering, QA, and integration efforts to deliver polished, demo-ready software on a reliable cadence. - Manage stakeholders and communication. Build strong relationships with internal stakeholders across business development, product, and leadership. Provide clear, concise program updates—surfacing risks early, setting expectations accurately, and translating technical complexity into business-impact language. - Coordinate demonstration logistics. Partner with the team to manage the complex logistics of delivering flawless XR demonstrations to critical audiences. Track hardware readiness, software stability, content preparation, and venue requirements to ensure every demo is executed without a hitch. - Build and improve processes. Implement lightweight, effective processes for planning, tracking, and delivery that match the team's pace. Leverage tools like Jira or similar to provide visibility without creating overhead. Continuously iterate on what works. - Anticipate and mitigate risk. Maintain a living picture of technical, schedule, and integration risks. Develop mitigation plans proactively and adjust course as conditions change—never letting the team be surprised by something that was foreseeable. REQUIRED QUALIFICATIONS - 8+ years of experience as a Technical Program Manager, Engineering Program Manager, or equivalent role delivering complex software products - Demonstrated track record of owning execution for cross-functional technical teams and shipping on-time - Strong technical literacy—ability to understand system architecture, software dependencies, build/release pipelines, and technical trade-offs without needing to write the code yourself - High agency and intrinsic motivation; you move on problems before being asked and operate effectively with minimal direction - Exceptional organizational skills with the ability to manage multiple parallel work-streams, competing priorities, and shifting timelines - Strong stakeholder management and communication skills—able to build trust, set expectations, and clearly articulate status, risks, and trade-offs to both technical and non-technical audiences - Experience with project management tooling (Jira, Confluence, Linear, or equivalent) and establishing delivery processes for engineering teams - Willingness to travel as needed for demonstrations and events (up to 25%) - Must be a U.S. person eligible to obtain and maintain an active U.S. Secret security clearance PREFERRED QUALIFICATIONS - Experience in real-time 3D applications, game engines, XR, or graphics-intensive software development environments - Background in defense, aerospace, or national security—understanding of the stakeholder landscape and demonstration culture - Experience managing release processes for software with hardware-in-the-loop dependencies (XR headsets, specialized display systems, etc.) - Familiarity with C++ development workflows, plugin architectures, or game studio production pipelines - Experience coordinating live demonstrations or events with high-profile audiences with high-profile audiences and very-high stakes - Track record of building program management processes from scratch in fast-moving, early-stage, or startup environments - Experience managing programs with both software delivery and physical logistics components - Active U.S. Secret (or higher) security clearance US Salary Range $191,000 - $253,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Senior Software Engineer, Backend - SIG
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Maritime Digital Production (MDP) is the software and digital systems function within Anduril's Heavy Metal division. We build and deploy the full technology stack that powers Anduril's shipbuilding factories: the data infrastructure that makes every machine and sensor visible in real time, the manufacturing execution system (ArsenalOS) that workers and planners use every shift, the scheduling engine that replans production in minutes instead of days, and the AI systems that eliminate manual toil from both the shop floor and business operations. MDP operates at the boundary between Operational Technology and Information Technology. Our systems live where factory-floor machines, edge compute, and OT networks meet enterprise platforms and cloud infrastructure. We incubate solutions close to the production line, validate them with real operators building real hardware, harden them for reliability and security, and then scale them across multiple sites. The environment is fast, physical, and consequential. When our systems go down, production stops. The output of our work is not a dashboard: it is a ship. This is not a support function. It is a strategic investment by Anduril in the premise that digitizing the manufacturing lifecycle end-to-end, from engineering definition through scheduling through execution through field feedback, is how Heavy Metal will out-build, out-adapt, and out-scale the traditional defense industrial base. MDP is scaling from a founding team to 70+ engineers across multiple U.S. sites. You will be joining early, working on hard problems with real operational stakes, and shaping how manufacturing software is built at Anduril from the ground up. ABOUT THE JOB As a Software Engineer, Backend on the Systems Integrity Group (SIG), you will build backend services and APIs that power simulation, digital twin validation, and V&V automation systems. You will develop systems that integrate simulation frameworks, geometric validation services, and 3D visualization data with enterprise systems to verify manufactured output matches engineering intent. WHAT YOU'LL DO - Design and implement backend services that orchestrate simulation frameworks, digital twin validation workflows, and V&V automation pipelines. - Develop APIs that expose validation results, geometric comparison data, and simulation outputs to downstream consumers including UE5 visualization, quality systems, and operational dashboards. - Partner with manufacturing engineers and factory operators to understand production workflows and translate them into backend service requirements. - Write production-quality code with comprehensive tests, participating in code review and architectural discussions. - Build backend integration layers that retrieve 3D CAD geometry, as-built scan data, quality measurements, and engineering specifications from PLM, MES, and quality management systems. - Design and maintain databases optimized for storing simulation results, validation findings, geometric comparison data, and historical V&V records. - Implement event-driven architectures that trigger validation workflows when manufacturing milestones occur or design changes are released. - Deploy and operate your systems in factory environments, including edge compute clusters and OT networks. - Optimize backend performance to support computationally intensive workloads including geometric validation, simulation orchestration, and 3D data processing. - Build data pipelines that feed real-time production data from the Unified Namespace to digital twin simulations and 3D visualization systems. - Leverage AI tooling (coding assistants, automation) in your development workflow and contribute to team engineering practices. - Join an on-call rotation supporting production factory systems. REQUIRED QUALIFICATIONS - 6+ years of experience in a software engineering role building production systems, ideally in a fast-paced environment. - Strong expertise in backend software development with foundations in distributed systems and API design. - Strong technical fluency in modern software architectures, APIs, distributed systems, CI/CD, and cloud or edge infrastructure. - Proficiency in backend programming languages (e.g., Python, Go, Java, Rust). - Experience with database management systems including relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis). - Strong understanding of RESTful API design, GraphQL, or gRPC for building scalable service interfaces. - Experience with cloud platforms (AWS, Azure, GCP) and deploying backend services in production environments. - Familiarity with containerization (Docker) and orchestration (Kubernetes) for deploying backend services. - Understanding of software development best practices including version control (Git), testing frameworks, and CI/CD pipelines. - Experience building systems that must operate reliably under real-world operational constraints (high availability, low latency, or constrained environments). - Excellent written and verbal communication skills, with the ability to collaborate across engineering, manufacturing, and operations teams. - Degree in Computer Science, Information Systems, Engineering, or related technical field, or equivalent practical experience. - U.S. Person status is required as this position needs to access export controlled data. PREFERRED QUALIFICATIONS - Experience in manufacturing, industrial, or OT-adjacent domains (MES, SCADA, PLC integration, factory automation, IoT). - Previous experience building backend systems that integrate with PLM (Teamcenter, Windchill), quality management systems, or CAD/CAM platforms. - Experience with simulation frameworks, digital twin systems, or backend services supporting V&V automation. - Background in systems that process and query 3D geometric data, point clouds, mesh data, or CAD models. - Experience with event-driven architectures, message queues (Kafka, RabbitMQ, NATS), or stream processing frameworks. - Familiarity with frontier AI tooling, AI coding assistants, and AI-enabled software development workflows. - Experience in hyper-growth startup-like environments, with demonstrated success balancing speed, ambiguity, and long-term system health. - Familiarity with microservices architecture patterns, API gateway patterns, and service mesh technologies. - Experience with monitoring and logging tools (Prometheus, Grafana, ELK Stack, Datadog) for backend observability. - Experience in manufacturing industries with hands-on exposure to assembly lines or production environments. - Knowledge of computational geometry, 3D data processing, or geometric validation algorithms. - Understanding of verification and validation processes in aerospace, defense, or regulated manufacturing industries. - Experience building backend services that support 3D visualization applications (Unreal Engine, Unity, or web-based 3D). - Eligible to obtain and maintain a U.S. Secret security clearance. US Salary Range $191,000 - $253,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
2027 Internship State Estimation, Learned Mapping...
JOIN THE TEAM BRINGING ADVANCED AUTONOMY TO THE BUILT WORLD At Bedrock, we're moving AI out of the lab and into the real world. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects. We're not here debating the future of AI. We're deploying it in the real world. In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction. This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us. ABOUT THE ROLE & TEAM Construction sites change with every bucket of dirt. Our State Estimation team builds the maps and localization systems that help autonomous excavators understand where they are and how the terrain is changing. As an intern on this team, you'll explore how modern learning-based methods can improve our geometry-first mapping stack. That could mean localizing reliably in terrain that looks the same in every direction, building maps that hold up through dust and occlusion, or labeling the map semantically so the machine can tell material to dig from haul roads, spoil piles, and berms. You'll test your ideas on real fleet data, measure them against strong classical baselines, and deliver a prototype the team can build on. WHAT YOU'LL DO - Prototype learned SLAM and mapping methods, such as place recognition, odometry, depth completion, and neural occupancy or surface representations - Fuse lidar and camera segmentation into consistent 3D semantic maps, potentially using vision foundation models or open-vocabulary segmentation - Develop methods that handle changing terrain, moving material, sparse returns, dust, occlusion, and perceptual aliasing - Train models on fleet lidar and camera data, and build evaluation pipelines to compare mapping and localization performance against existing methods and ground truth - Work with perception and planning teams to identify the map properties that matter most for downstream decisions - Deliver a documented prototype, experimental results, and recommendations for future work WHAT WE'RE LOOKING FOR REQUIRED - Pursuing a BS, MS, or PhD in computer science, robotics, electrical engineering, or a related field, or equivalent research or industry experience - Strong Python skills and hands-on model training experience with PyTorch or a similar framework - Solid understanding of 3D geometry, coordinate frames, and transforms - Familiarity with SLAM and mapping fundamentals, point clouds, or depth data - Comfort with messy sensor data and designing experiments that distinguish real improvements from noise PREFERRED - Research or project experience in learned SLAM, semantic mapping, or 3D scene understanding - Experience with neural scene representations, such as NeRFs, 3D Gaussian splatting, neural occupancy, or signed distance fields - Experience applying vision foundation models, such as DINOv2 or SAM, to 3D or robotics problems - Experience with lidar processing or multi-sensor fusion - Exposure to autonomous vehicle, off-road, or field robotics data - Familiarity with Rust or C++, and ROS or similar robotics middleware Bedrock Robotics is an Equal Opportunity Employer We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic. Reasonable Accommodations We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
Staff Product Security Engineer
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. We're seeking a Staff Product Security engineer to develop novel security tooling, discover vulnerabilities, and ultimately secure our suite of advanced technologies including artificial intelligence systems, command and control platforms, aerospace vehicles, and long range sensors. The ideal candidate has a background in electrical or software engineering, with a focus on platform security, or has pivoted to a product or application security role. They will be able to conduct complex security architecture reviews, research and mitigate exploits against hardware and software, and work with other engineering teams to build resiliency into our products. Responsibilities: - Owns the development and maturation of security features for Anduril’s products - Authors and maintains security documentation including System Security Plans, Threat Analysis and Risk Assessments, and compliance evidence - Collaborates and builds solutions with engineering teams to meet and exceed industry-standard security goals - Collaborates with manufacturing and operations teams to develop secure handling and operational processes - Engages with teams to remediate uncovered weakness in designs, implementations, integrations, and processes - Integrates and matures Product Securitys suite of tooling thought Anduril’s products. - Conducts security assessments including architecture review, source code analysis, configuration auditing, and adversarial testing Requirements: - Proficient with one or more programming languages (e.g. C/C++, Golang, Rust, Python) - Experience assessing security of firmware, applications, network, IoT, or embedded systems - Experience developing features for and improving security of firmware, applications, network, or embedded systems - Experience building, testing, and delivering production-ready systems, especially for embedded and/or Linux systems - Experience with structured threat modelling and risk assessment methodologies - Experience in building and security autonomous systems and their unique threat model - Experience in any previous military or defence domain; land, air, sea desirable but not mandatory - Familiarity with anti-tamper and reverse engineering hardware and software mechanisms - Strong and professional communication skills (written and verbal) - Must be eligible to obtain and maintain a UK Security Clearance to a minimum of SC level - Must be a UK citizen Preferred Qualifications: - Excels at the above listed Requirements - Experience with UK Ministry of Defence Cyber Security Model, including - UK Government Security Classifications - DefStans (05-138 at a minimum) - Cyber Secure by Design (including JSP 440’s Cyber Secure by Design guidance and/or JSPs 453 and 604) - Defence Information Protection Notices (DIPNs) - Industry Security Notices (ISNs) - Familiarity with aviation cyber security standards such as DO-326A/ED-202A - Experience with SORA or CAA Type Certification cyber requirements - Experience engaging with certification bodies like the CAA or MAA/DE&S - Familiarity with RF Emanation Protection (including TEMPEST) - Experience of Network Security Devices (including Inter-Domain Gateways and Cross Domain Solutions) - Familiarity with security architectures of embedded, aerospace, or cyber-physical systems - Experience with programmable logic devices and their development tools - Regularly builds, tests, and delivers production-ready systems, especially for embedded and/or Linux systems - Ideally a sole UK National (i.e. hold no other citizenships) Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we’d love to hear from you! The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Staff Product Security Engineer
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role We’re seeking a Staff Product Security Engineer with deep AI/ML security expertise to strengthen Crusoe’s security posture across applications, infrastructure, and distributed AI systems. This is a highly technical role focused on advanced penetration testing, AI/ML attack surface research, and building secure-by-design guardrails that engineering teams rely on. You’ll operate at the intersection of offensive security, AI systems, and production engineering; owning security outcomes end-to-end while influencing system design across the organization. What You’ll Be Working On - Performing advanced manual penetration testing across complex applications, infrastructure, Kubernetes environments, and distributed microservice ecosystems - Leading offensive security initiatives including red team operations, adversary simulation, and security research - Securing AI/ML systems end-to-end, including LLM pipelines, vector databases, RAG architectures, and agentic workflows - Identifying and researching novel attack surfaces unique to LLMs and autonomous systems, contributing to internal and external AI security research - Influencing secure system design across the SDLC, embedding security into CI/CD pipelines, container images, and deployment workflows - Integrating and operationalizing security tooling (SAST, DAST, SCA, container scanning) and driving remediation of complex application-layer vulnerabilities - Building internal security guardrails such as hardened base images, reusable libraries, and policy-as-code frameworks - Developing production-grade security tooling and leading cross-functional security programs from design through deployment What You’ll Bring to the Team - 8-10 years of deep hands-on experience in offensive security, including manual penetration testing, red team operations, and adversary simulation - Familiarity with modern C2 frameworks (e.g., Cobalt Strike, Sliver, Havoc), exploit development, and security research - Strong expertise across the AI/ML stack, including MLOps, inference architectures, vector databases, RAG, and agentic frameworks (e.g., ReAct, Reflexion) - Experience building, deploying, and securing LLM pipelines and AI workflows in Kubernetes and/or bare-metal environments - Strong software engineering foundations with experience shipping production code in Go, Python, or Rust - Hands-on experience securing Kubernetes, containers, VMs, and CI/CD environments - Deep understanding of application security vulnerabilities, secure coding practices, and distributed system design - Demonstrated ability to lead complex, cross-functional security initiatives end-to-end - Strong communication skills with the ability to influence both engineering teams and executive stakeholders Bonus Points - Public contributions to offensive security or AI security research (talks, blogs, tooling, CVEs, etc.) - Experience building internal red team or adversary simulation programs - Background in high-performance computing, AI infrastructure, or cloud-native platform security - Experience designing policy-as-code frameworks at scale Benefits: - Competitive compensation - Restricted Stock Units - Paid time off & paid holidays - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off Compensation Range Compensation will be paid in the range of up to $250,000 - $285,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Senior / Staff Software Engineer, Mobile — Core (M...
OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Team Own OKX's in-app messaging end to end — from a fully in-house IM engine to a messaging platform powering community chat, payments, VIP service, and user-to-agent (AI) chat for millions. The more senior you are, the more you set the technical direction others build on. What You'll Be Doing - Build our multi-platform unified IM SDK — unify the logic core across platforms and push performance and stability as a lever for growth. - Platformize the engine — turn it into a platform that product teams build business scenarios on (community chat, payments, VIP service). - Build user-to-agent (AI) chat — the conversational AI surface on top of IM, from real-time delivery to the agent interaction experience. - Own delivery end-to-end — real-time WebSocket long-connection and offline push across overseas + China vendor channels — so messages reach users whether the app is open or not. - Push latency, reliability, and battery/memory to their limits under real production and weak-network conditions. - Build our AI-native engineering practice — design automated development workflows and harness systems (agents, evals, guardrails, CI integration) that let AI do real engineering work, while safeguarding delivery quality and efficiency. - Raise the bar through design and code review, and by making the engineers around you better. - At the Staff level: set technical direction beyond your own area and drive cross-team decisions that shape the IM platform. What We Look For In You - Deep, hands-on experience building native iOS and/or Android — you understand the platform, not just a framework on top of it. - Experience with a cross-platform / shared business-logic layer . We build ours in Rust + UniFFI ; direct Rust-on-mobile experience is a strong plus, but experience with any shared-logic approach — KMP, Flutter, or React Native — transfers well and is valued. - Fluent in at least one of: Swift / Kotlin / Rust / Objective-C / Java / JavaScript , with strong CS fundamentals. - Architecture experience with large-scale mobile apps — you've applied maintainable design patterns and own solutions from requirements through to production. - Depth in at least one layer of the messaging stack, and the ability to work across both — whether your strength is chat/feature-level UX or real-time / networking internals: WebSocket / long-connection, and/or offline push delivery across overseas + China channels (APNs, FCM, and China vendor push). Bonus if you have the depth to reason about a messaging engine from the ground up, not just consume one. - Strong mobile performance chops (memory, battery, concurrency, weak-network). - You apply AI deeply in your own engineering — not just code generation . You've built, or are driven to build, automated development workflows and harnesses that make delivery both faster and more reliable. Solid grasp of LLM fundamentals, prompt engineering, RAG, and agent concepts, with hands-on experience taking an AI pipeline from scratch to shipped — and you're excited to build user-facing conversational / agent-chat experiences too. - Comfortable with ambiguity and high scale — you've debugged problems that only appear under real production load. - Signals we value: you naturally raise the standard of teams you join , mentor without being asked, and can grow into a technical anchor for the group. Nice-To-Haves - Built or maintained an IM / chat product, or an SDK consumed by other teams . - Experience with mini-program or dynamic/hot-update frameworks . - Crypto trading / Web3 experience. Perks & Benefits - Competitive total compensation package - L&D programs and Education subsidy for employees' growth and development - Various team building programs and company events - Wellness and meal allowances - Comprehensive healthcare schemes for employees and dependants - More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .
Senior / Staff Software Engineer, Mobile — Core (A...
OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Team Own the account backbone of a CeFi platform trusted by millions — login, registration, account security, MFA, Passkey — where a single security regression is measured in real user funds. The more senior you are, the more you set the technical direction others build on. What You'll Be Doing - Own account-system subsystems end-to-end — authentication, MFA, Passkey/WebAuthn, session & device trust, account registration and recovery — including architecture, tradeoffs, and long-term evolution. - Design flows that are secure and low-friction at millions-of-DAU scale — the hardest tradeoff in this space. - Partner with risk & security teams to turn threat models into shipped mobile defenses. - Build our AI-native engineering practice — design automated development workflows and harness systems (agents, evals, guardrails, CI integration) that let AI do real engineering work, while safeguarding delivery quality and efficiency . - Raise the bar through design and code review, and by making the engineers around you better. - At the Staff level: set technical direction beyond your own subsystem and drive cross-team, cross-timezone decisions that shape the account platform. What We Look For In You - Deep, hands-on experience building native iOS and/or Android — you understand the platform, not just a framework on top of it. - Experience with a cross-platform / shared business-logic layer . We build ours in Rust + UniFFI ; direct Rust-on-mobile experience is a strong plus, but experience with any shared-logic approach — KMP, Flutter, or React Native — transfers well and is valued. - Fluent in at least one of: Swift / Kotlin / Rust / Objective-C / Java / JavaScript , with strong CS fundamentals. - Architecture experience with large-scale mobile apps — you've applied maintainable design patterns and own solutions from requirements through to production. - Hands-on with mobile authentication & security — OAuth/OIDC, MFA, secure storage (Keychain/Keystore), biometrics. Direct experience with Passkey / WebAuthn / FIDO2 is a strong advantage — it's live in our stack and central to what you'll work on. - Solid grasp of threat modeling and the mobile attack surface. - You apply AI deeply in your own engineering — not just code generation . You've built, or are driven to build, automated development workflows and harnesses that make delivery both faster and more reliable . Solid grasp of LLM fundamentals, prompt engineering, RAG, and agent concepts, with hands-on experience taking an AI pipeline from scratch to shipped. - Comfortable with ambiguity and high scale — you've debugged problems that only appear under real production load. - Signals we value: you naturally raise the standard of teams you join , mentor without being asked, and can grow into a technical anchor for the group. Nice-To-Haves - Fraud / risk, cryptography, or regulated-industry (fintech) experience. - Experience with mini-program or dynamic/hot-update frameworks . - Crypto trading / Web3 experience. Perks & Benefits - Competitive total compensation package - L&D programs and Education subsidy for employees' growth and development - Various team building programs and company events - Wellness and meal allowances - Comprehensive healthcare schemes for employees and dependants - More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .
Staff Robotics Software Engineer, Teleoperations A...
Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential. About The Role You will be the architectural force behind the systems that teach Digit how to interact with the physical world. As a Staff Robotics Software Engineer on the AI team, you will architect, build, and scale the production-quality software foundation that enables Digit to execute complex, whole-body manipulation tasks in real-world environments. You will work at the critical intersection of AI, controls, hardware, and operations to create a seamless, low-latency platform for human demonstration data collection. Your software architecture will directly unlock our ability to scale the world's first production humanoid robot fleet and revolutionize the global labor market. About The Work - Architect from the Ground Up: Own the end-to-end software architecture of our data collection and teleoperation systems, ensuring highly modular, scalable, and predictable behavior with clear system boundaries. - Optimize for Performance: Build the connective tissue for real-time robot execution by integrating and optimizing real-time control, streaming, and communication paths to meet strict latency and bandwidth targets. - Design for the Future: Anticipate upcoming robot hardware, sensing, and end-effector changes. Design resilient software systems that can seamlessly adapt to new interfaces and capabilities without requiring foundational architectural rewrites. - Drive Validation & Reliability: Develop comprehensive validation strategies across simulation and physical hardware, including performance benchmarks, fault handling, and regression testing. - Data-Driven Iteration: Analyze system telemetry and demonstration data to continuously improve operator efficiency, system responsiveness, and overall task success rates. About You - 7+ years of experience in software engineering for robotics, real-time systems, or highly complex hardware-software integrations. - Exceptional software architecture skills, with a proven ability to design and build scalable, low-latency systems from scratch without foundational missteps. - Demonstrated track record of operating as a highly autonomous, independent executor capable of delivering reliable, production-quality software. - Experience designing low-latency communication and streaming systems for real-time applications. - Strong systems intuition with the ability to trace and debug performance issues across complex software, networking, and hardware boundaries. - Demonstrated experience in modern C++ or Rust, with a strong track record of building and optimizing low-latency, real-time systems (Python proficiency is a strong plus). - Excellent communication skills and the ability to partner effectively with internal customers (AI, controls, and hardware teams) to translate requirements into robust software. Bonus Qualifications - Domain Knowledge: Familiarity with whole-body kinematics, motion retargeting, rigid body dynamics, or real-time control systems. - Human-Machine Interfaces: Hands-on experience integrating human input systems such as Virtual Reality (VR), motion capture, wearable devices, or remote control interfaces. - XR Frameworks: Experience building applications with real-time rendering or XR frameworks (e.g., Unity, Unreal, Godot, SteamVR, OpenXR). - 3D Visualization: Experience with advanced 3D visualization techniques such as neural radiance fields, Gaussian splatting, or other scene reconstruction methods. - Data Pipelines: Familiarity with large-scale data collection pipelines for learning from demonstration. This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future. Anticipated Salary Range $190,000 - $296,000 USD In addition to base pay, our competitive total rewards package consists of the following for full-time employees: - 401(k) Plan: Includes a 6% company match. - Equity: Company stock options. - Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. - Benefit Start Date: Eligible for benefits on your first day of employment. - Well-Being Support: Employee Assistance Program (EAP). - Time Off: - Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown. - Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually. - On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. - Parental Leave: Generous paid parental leave programs. - Work Environment: A culture that supports flexible work arrangements. - Growth Opportunities: Professional development and tuition reimbursement programs. - Relocation Assistance: Provided for eligible roles. - Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.
Software Engineer, Simulation
JOIN THE TEAM BRINGING ADVANCED AUTONOMY TO THE BUILT WORLD At Bedrock, we're moving AI out of the lab and into the real world. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects. We're not here debating the future of AI. We're deploying it in the real world. In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction. This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us. THE MISSION: We’re looking for exceptional Software Engineers to build and scale our robotics simulation environment. Simulation is a critical foundation for autonomy at Bedrock - it allows us to validate end-to-end systems, evaluate complex and unsafe scenarios, and run testing at massive scale. Our autonomy stack is deeply machine-learning–driven, and closing the sim-to-real gap is a core focus of this role. The simulator must accurately represent real-world physics - including terrain deformation for digging and earthmoving - while remaining efficient enough to support thousands of simulation runs. High-quality simulation directly accelerates robotics development, making this work central to our success. WHAT YOU’LL DO: - Build and scale high-fidelity simulation environments for autonomous construction machines - Develop simulation systems that support ML-based autonomy, evaluation, and safety validation - Improve realism and performance to better reflect real-world behavior - Help guide our strategy in scene generation and neural rendering techniques - Write production-quality, hands-on code and build real simulation content—not just prototypes WHO YOU ARE: Simulation spans many disciplines, and we don’t expect one person to do everything. Strong candidates typically bring: - A passion for large-scale, realistic simulation systems - Experience with advanced 3D simulation software - Experience evaluating systems and improving realism to support autonomy stacks - A hands-on mindset and enthusiasm for building core simulation algorithms and content WHAT WE’RE LOOKING FOR: - Engineering, math, or physics degree, or computer science background with demonstrated interest and strength in math and physics - 4+ years of professional experience in software engineering, with proven track record of building modular, maintainable, production-quality software systems in C++ - 2+ years of experience with one or more 3D engines or simulation frameworks, such as: Unreal Engine, Unity, Godot, Blender, Gazebo, Isaac Sim, Omniverse PREFERRED QUALIFICATIONS: - Experience with Rust or interest in learning it - Robotics simulation background - Experience with neural rendering techniques (Gaussian splats, NeRFs) Bedrock Robotics is an Equal Opportunity Employer We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic. Reasonable Accommodations We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
Research Engineer, Agentic EDA
NORMAL COMPUTING | BUILD WITH US Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions. We work as one team across New York City, Silicon Valley (Mountain View), London, Copenhagen, and Seoul. Your Role in Our Mission We’re hiring a Research Engineer to push the frontier of agentic LLMs and reinforcement learning for pushing the capabilities of Normal EDA, our agentic AI platform for semiconductor design automation. You’ll design and run experiments, build agents, curate datasets from complex technical artifacts, and create rigorous evaluations. You’ll write production‑quality research code and work closely with engineering to ship improvements to customers. Responsibilities - Build multi-agent systems for code generation that interact with EDA tools (e.g., simulations, waveform analysis, formal tools, physical design tools), propose fixes, and iterate through all stages of chip design and verification flows. - Build research prototypes that integrate with our production agentic code generation tool; collaborate to productionize wins. - Create RL environments and evaluations for agents, explore proxy rewards and consider speed/accuracy tradeoffs of custom tools. - Generate datasets from silicon collateral (e.g., RTL, testbenches, custom VIPs) sources such as RTL designs/VIPs/chip specifications/agent logs; generate synthetic data where appropriate; maintain data cards and licensing. - Analyze experiments with disciplined ablations; document results and drive progress with technical rigour. - Stay current on LLM agents, RL (offline/online, RLHF/RLAIF), constrained decoding, and program synthesis. What Makes You a Great Fit - PhD in CS/AI/ML (or equivalent research experience) with publications ideally in multi‑agent RL, agentic AI, or RL for language/code. - Strong Python and ML framework experience (PyTorch preferred; JAX/HF a plus). - Demonstrated ability to turn research into working systems - Experience designing evaluation environments and reward models for sequential/agentic tasks. - Experience and fluency with EDA tools (formal, simulation, physical design). - Comfortable with data acquisition/curation; good instincts about data quality and licenses. - Clear communicator who partners well with other engineers. Bonus Points - Research on program synthesis/codegen, constrained decoding, or execution‑based rewards. - Experience with offline RL from tool traces or human corrections. - Open‑source contributions (e.g., SkyRL, verl, RLlib, Transformers, Pytorch). - Familiarity with semiconductor/chip domains or other complex technical domains. - Track record of shipping research to production. Equal Employment Opportunity Statement Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status. Accessibility Accommodations Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accommodations@normalcomputing.com. Privacy Notice By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Applicant Privacy Notice https://normalcomputing.com/applicant-privacy-notice.
Research Engineer - Environments, Data and Post-Tr...
ABOUT MERCOR Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices. ABOUT THE ROLE As a Research Scientist at Mercor, you will work at the intersection of research and engineering on frontier post-training. You will develop new training and evaluation methods, test them through rigorous experiments, and implement successful approaches at scale. Working with researchers, engineers, domain experts, and customers, you will investigate how data, rewards, environments, and optimization methods shape model behavior. Your work will influence frontier models, Mercor’s products, and the broader research community through releasing blogposts, technical reports, and papers. WHAT YOU’LL DO - Implement novel post-training methods that improve model reasoning, tool use, and agentic behavior. - Develop new training recipes for frontier open models. - Design and run experiments across datasets, reward functions, environments, and optimization strategies, including methods such as GRPO and DAPO. - Build reinforcement learning with verifiable rewards (RLVR) and other post-training pipelines at scale. - Investigate model capabilities and failure modes, then develop targeted training interventions. - Create methods for measuring data quality, usability, and causal impact on model performance. - Build scalable pipelines for data generation, filtering, augmentation, and selection. - Develop rubrics, evaluators, benchmarks, and scoring systems that inform training decisions. - Translate open-ended research questions into rigorous experiments and production systems. - Collaborate with researchers, applied AI teams, engineers, and domain experts producing training data. - Contribute to open-source post-training tools and research. WHAT WE’RE LOOKING FOR - Demonstrated experience training and evaluating machine learning models. - A strong research record in post-training, reinforcement learning, language-model evaluation, data-centric ML, or a closely related field. - Ability to reason rigorously about model behavior, experimental results, and data quality. - Strong programming skills and experience implementing machine learning systems. - Knowledge of the current AI research landscape and important open problems. - Excitement to work in person in San Francisco, five days a week (with optional remote Saturdays), and thrive in a high-intensity, high-ownership environment. NICE TO HAVE - Experience on an industry post-training or frontier-model team. - Main authorship of publications at top-tier conferences (NeurIPS, ICML, ACL). - Experience with synthetic-data generation - Experience building large-scale evaluation or data-generation infrastructure. - Solid foundations in distributed or backend systems, and experimental design. - Familiarity with APIs, databases, and cloud infrastructure. BENEFITS - Bi-annual performance bonus structure - Generous equity grant vested over 4 years - Up to $15k Relocation bonus - $10K housing bonus (if you live within 0.5 miles of our office) - $1.5K monthly stipend for meals - Free Equinox membership - $200 monthly laundry reimbursement - $200 monthly personal wellness reimbursement - Health, Dental, Vision insurance
Member of Technical Staff - Post Training, Applied...
ABOUT LIQUID AI Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there. THE OPPORTUNITY This is a rare chance to sit at the intersection of frontier vision-language models and real-world deployment. You'll own applied post-training work for VLMs end-to-end for some of the world's largest enterprises, while still contributing directly to Liquid's core multimodal model development. Unlike most roles that force a trade-off between customer impact and foundational work, this role gives you both: deep ownership over how vision-language models are adapted, evaluated, and shipped, and a direct line into the evolution of Liquid's multimodal post-training stack. If you care about visual understanding, data quality, evaluation, and making VLMs actually work in production, this is a chance to shape how applied multimodal AI is done at a foundation model company. WHAT WE'RE LOOKING FOR We need someone who: - Takes ownership: Owns VLM post-training projects end-to-end, from customer requirements through delivery and evaluation. - Thinks end-to-end: Can reason across visual data curation, training, alignment, and evaluation as a single system. - Is pragmatic: Optimizes for model quality and customer outcomes over publications or theory. - Communicates clearly: Can translate between customer needs and internal technical teams, and push back when needed. THE WORK - Act as the technical owner for enterprise customer VLM post-training engagements. - Translate customer requirements into concrete multimodal post-training specifications and workflows. - Design and execute visual data generation, filtering, and quality assessment processes, including image-text pair curation, annotation pipelines, and synthetic data generation for visual tasks. - Run supervised fine-tuning, preference alignment, and reinforcement learning workflows for vision-language models. - Design task-specific evaluations for visual understanding, grounding, OCR, document parsing, and other multimodal capabilities. Interpret results and feed learnings back into core post-training pipelines. DESIRED EXPERIENCE Must-have: - Hands-on experience with data generation and evaluation for VLM or multimodal post-training. - Experience training or fine-tuning vision-language models using SFT, preference alignment, and/or RL. - Strong intuition for visual data quality, annotation design, and multimodal evaluation. - Familiarity with vision encoders, image-text architectures, and how visual representations interact with language model backbones. Nice-to-have: - Experience with visual grounding, document understanding, OCR, or video understanding tasks. - Experience contributing to shared or general-purpose multimodal post-training infrastructure. - Prior exposure to customer-facing or applied ML delivery environments. - Familiarity with alignment or RL techniques beyond basic supervised fine-tuning in the multimodal setting. WHAT SUCCESS LOOKS LIKE (YEAR ONE) - Independently owns and delivers enterprise VLM post-training projects with minimal oversight. - Is trusted by customers as the technical owner, demonstrating strong judgment and delivery quality on multimodal workloads. - Has made durable contributions to Liquid's general-purpose multimodal post-training pipelines by feeding applied learnings back into baseline model development. WHAT WE OFFER - Real ML work: You will fine-tune vision-language models, generate multimodal data, and ship solutions, not configure API calls. Your work feeds directly back into our core model development. - Compensation: Competitive base salary with equity in a unicorn-stage company. - Health: We pay 100% of medical, dental, and vision premiums for employees and dependents. - Financial: 401(k) matching up to 4% of base pay. - Time Off: Unlimited PTO plus company-wide Refill Days throughout the year.
Member of Technical Staff - Post Training, Applied...
ABOUT LIQUID AI Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there. THE OPPORTUNITY LFM2.5-Audio is Liquid's end-to-end multimodal speech and text language model. At 1.5B parameters, it handles speech-to-speech conversation, ASR, and TTS without requiring separate components, making it uniquely suited for real-time, on-device deployment. We're now bringing this model to enterprise customers. The core challenge: teaching audio models to understand user intents and translate them into structured tool calls. Think voice-driven function calling, where a spoken request triggers the right API, extracts the right parameters, and confirms back to the user in natural speech. This role sits at the intersection of frontier audio models and real-world deployment. You'll own the applied post-training work that adapts LFM2.5-Audio for customer use cases end-to-end, from data generation through delivery. Unlike most roles that force a trade-off between customer impact and foundational work, this one gives you both: deep ownership over how audio models are adapted, evaluated, and shipped, and a direct line into the evolution of Liquid's post-training and audio stacks. If you care about data quality, evaluation, and making models actually work in production, this is a chance to shape how applied audio AI is done at a foundation model company. WHAT WE’RE LOOKING FOR We need someone who: - Takes ownership: Owns customer post-training projects end-to-end for audio workloads, from requirements through delivery and evaluation. - Thinks end-to-end: Can reason across audio data pipelines, speech-text alignment, model adaptation, and evaluation as a connected system. - Is pragmatic: Optimizes for model quality and customer outcomes over publications or theory. - Thrives under constraints: On-device, low-latency, memory-limited audio systems excite you. You see constraints as design parameters, not blockers. THE WORK - Act as the technical owner for enterprise audio post-training engagements. - Translate customer requirements into concrete post-training specifications and workflows for LFM2.5-Audio and future audio models. - Design and build function calling capabilities for audio models: training models to map spoken user intents to structured tool calls (API invocations, parameter extraction, confirmation flows). - Design and execute data generation pipelines for speech-to-speech and text-to-text training, including synthetic dialogue, function calling examples, and intent-action pairs. - Run supervised fine-tuning, preference alignment, and reinforcement learning workflows on audio language models. - Design task-specific evaluations for audio function calling (intent recognition accuracy, parameter extraction, end-to-end task completion) and feed learnings back into core post-training pipelines. DESIRED EXPERIENCE Must-have: - Hands-on experience with post-training for language models (SFT, preference alignment, and/or RL). - Experience with data generation and evaluation pipelines for LLM or audio model training. - Strong intuition for data quality and evaluation design. - Familiarity with function calling, tool use, or structured output training for language models. Nice-to-have: - Experience with speech or audio language models (speech-to-speech, ASR, TTS, or multimodal audio-text systems). - Prior exposure to customer-facing or applied ML delivery environments. - Experience with alignment or RL techniques beyond basic supervised fine-tuning. - Familiarity with on-device or low-latency inference constraints. WHAT SUCCESS LOOKS LIKE (YEAR ONE) - Independently owns and delivers enterprise audio post-training projects with minimal oversight. - Has built and shipped function calling capabilities that reliably translate spoken user intents into tool calls for production use cases. - Is trusted by customers as the technical owner, demonstrating strong judgment and delivery quality. - Has made durable contributions to Liquid's general-purpose post-training and audio pipelines by feeding applied learnings back into baseline model development. WHAT WE OFFER - Real ML work: You will fine-tune audio and speech models, build audio data pipelines, and ship solutions to enterprise customers under real-time on-device constraints. - Compensation: Competitive base salary with equity in a unicorn-stage company - Health: We pay 100% of medical, dental, and vision premiums for employees and dependents - Financial: 401(k) matching up to 4% of base pay - Time Off: Unlimited PTO plus company-wide Refill Days throughout the year
Member of Technical Staff - Applied ML, Japanese M...
ABOUT LIQUID AI Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there. THE OPPORTUNITY As an Applied ML Engineer on the Japan team, you will own the technical path from a customer's problem to a deployed AI solution. You will work directly with technical teams at leading companies in Japan and collaborate closely with Liquid's research, model, inference, and product teams in Japan and at our US headquarters. The center of gravity for this role is deployment: making models perform reliably in the environments where customers actually need them. Depending on the problem, that may also require post-training, careful evaluation, inference optimization, or changes elsewhere in the ML system. Your expertise will shine across these boundaries. You will join a growing Japan organization, with the autonomy to own important customer work and the backing of the teams building Liquid's core technology. This is an opportunity to shape how advanced, efficient foundation models are deployed in one of Liquid's fastest-growing markets. WHAT WE'RE LOOKING FOR We need someone who: - Owns outcomes end to end: You take responsibility from technical discovery through implementation, validation, optimization, and deployment. - Enjoys technical customer work: You can explore a problem with a customer's engineers, challenge assumptions constructively, and turn an ambiguous need into a sound technical plan. - Builds for the real environment: You treat latency, memory, compute, privacy, reliability, and maintainability as part of the ML problem. - Works with rigor: You move quickly while using strong baselines, profiling, careful evaluation, and disciplined error analysis to decide what works. - Collaborates across boundaries: You communicate clearly across customers, the Japan team, and globally distributed research and engineering teams. THE WORK - Own applied ML projects for customers in Japan, from technical discovery and scoping through production deployment. - Integrate, profile, and optimize model inference to meet concrete requirements for latency, throughput, memory, power, cost, and reliability. - Build the surrounding software needed to turn a model into a robust product capability, including data pipelines, evaluation systems, serving components, and reference implementations. - Fine-tune or post-train models when needed using techniques such as supervised fine-tuning, parameter-efficient fine-tuning, and preference optimization. - Design task-specific evaluations, conduct systematic error analysis, and iterate across data, models, inference, and system design. - Work directly with customer engineering teams during design, integration, testing, and rollout, including occasional on-site work. - Turn lessons from individual deployments into reusable tooling and feedback that improves Liquid's models, inference stack, documentation, and product roadmap. DESIRED EXPERIENCE Must-have: - Strong engineering skills and experience building, testing, and shipping production-quality ML systems. - Hands-on experience deploying modern language models, multimodal models, or other deep learning systems beyond a notebook or API proof of concept. - Experience with model serving, performance profiling, or inference optimization, and the judgment to balance model quality with system constraints. - Proficiency with the open-source ML ecosystem. - Experience designing evaluations, analyzing model failures, and using the results to drive measurable improvements. - Comfort leading technical discussions with customers and translating ambiguous requirements into shipped systems. - Professional proficiency in English, including the ability to collaborate on complex technical work with global teams. - Experience leveraging agents to amplify your own work. Nice-to-have: - Working proficiency in Japanese. - Experience with LLM post-training methods. - Experience with inference and deployment frameworks such as vLLM, SGLang, llama.cpp, ONNX Runtime, MLX. - Familiarity with quantization, hardware-aware optimization, or deployment on mobile, embedded, automotive, or other edge platforms. - Experience with multimodal systems involving text, vision, audio, or sensor data. - Experience delivering ML systems for enterprise or regulated environments. We care about demonstrated ability, learning speed, and engineering judgment. Degrees and publications are not required, and we encourage you to apply even if your experience does not match every item above. WHAT SUCCESS LOOKS LIKE (YEAR ONE) - You independently own important customer workstreams and earn trust through technical depth, clear communication, and reliable execution. - You move high-value use cases from ambiguous requirements to production-ready deployments under real performance constraints. - You deliver measurable improvements in model quality, latency, memory use, throughput, cost, or another outcome that matters to the customer. - You create reusable deployment, evaluation, or adaptation workflows that make subsequent projects faster and more reliable. - Your insights from the field materially influence Liquid's models, inference stack, tooling, or roadmap. HOW WE WORK This is a primarily remote role for candidates already based in Japan. We typically meet in our Tokyo office once or twice a week. Working hours are fully flexible, with an expectation that you can collaborate effectively with customers in Japan and colleagues in other time zones. The role includes travel to the United States and to relevant conferences, as well as occasional travel within Japan to work with customers in person. WHAT WE OFFER - High-impact work: Take foundation models from promising prototypes to systems that perform reliably in the real world. - Distinctive technical problems: Work on deployment challenges where efficiency, privacy, latency, and reliability are first-class requirements. - Direct access to core teams: Collaborate closely with the researchers and engineers building Liquid's models and inference technology. - Ownership in a growing market: Help define our technical approach in Japan at a time of strong customer demand and rapid growth. - Supportive & growth-driven culture: Thrive in a collaborative, feedback-rich environment that prioritizes continuous learning, mentorship, and personal career development. - Flexibility: Primarily remote work, flexible working hours, and unlimited paid time off. - Competitive rewards: Competitive salary, equity in a unicorn-stage company, and standard benefits for employees in Japan.
Research Engineer / Scientist, Post-Training
SOLVING SELF-IMPROVING SUPERINTELLIGENCE The human brain is a sponge. Today’s AI brains are brittle and rigid. At Letta, we’re building self-improving artificial intelligence: creating agents that continually learn from experience and adapt over time. Founded by the creators of MemGPT from UC Berkeley’s Sky Computing Lab (the birthplace of Spark and Ray). Backed by Jeff Dean, Clem Delangue, and pioneers across AI infrastructure. Our agents already power production systems at companies like 11x https://www.letta.com/case-studies/11x and Bilt Rewards https://www.letta.com/case-studies/bilt, learning and improving every day. We’re assembling a world-class team of researchers and engineers to solve AI’s hardest problem: making machines that can reason, remember, and learn the way humans do. Note that this role is in-person (no hybrid), 5 days a week in downtown San Francisco. YOUR ROLE You will pioneer post-training techniques that improve how well LLMs can be integrated into complete agentic systems. At Letta, you'll work with a world-class, tight-knit team of AI researchers and engineers towards our vision of self-improving superintelligence. Advance the field through open publishing of research through papers, technical reports, blog posts, and open-source code. WHAT YOU’RE RESPONSIBLE FOR: - Training models for better agentic tool-use, particularly for context management - Designing mechanisms for continuous model weight updates post-deployment without catastrophic forgetting - Designing and run experiments to improve understanding of the interplay between data mixtures, training algorithms, and models - Building infrastructure for generating and collecting synthetic data at scale - Building challenging evals for measuring agentic capabilities WHAT WE'RE LOOKING FOR: - Proficiency in python and deep learning frameworks eg. PyTorch - Expertise in post-training techniques e.g. SFT fine-tuning, reinforcement learning, reward models, preference learning - Ability to balance execution speed with empirical rigor - Proven track record of impactful research (breakthrough publications and/or open-source contributions) - Real-world impact beyond pure academic work OUR CULTURE SIGNS IT COULD BE A GREAT FIT: - You want to maximize your impact: you want work on a small, incredibly talented team where every individual plays a huge role in the team's success. You wonder what it would have been like to be at OpenAI when it was just a dozen people, or Google when it was just a couple of grad students in a garage. - You’re excited to go head-to-head with tech giants, frontier labs, and other startups that are many times our size in both headcount and funding. - You are fundamentally opposed to closed frontier AI that is controlled by a handful of billionaires and private tech companies. SIGNS IT’S A BAD FIT: - You like stability, and get stressed out when there’s nobody telling you exactly what to do. We look for people that thrive in ambiguity and can intuit the most important problems by talking to customers and dogfooding our product. - You want to work a 9-5, and value clear separation of work from life. The stakes are the highest they've ever been, and the only moat is execution velocity. Operating on a strict 9-5 guarantees failure. - You value titles or want to people-manage. Letta is a flat company where every researcher and engineer is an individual contributor. OUR INTERVIEW PROCESS: - Initial screen (30 min) - Technical screen (1-1.5 hours) - Paid in-person work trial (2 days onsite in SF)
ML Researcher - Posttraining
ABOUT KREA At Krea, we are building next-generation AI creative tools. We're dedicated to making AI intuitive and controllable for creatives - our mission is to build tools that empower human creativity, not replace it. We believe AI is a new medium that allows us to express ourselves through various formats - text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. We recently took this a step forward with the launch of Krea 2 https://www.krea.ai/blog/krea-2-image-model, our first foundation model, built completely from scratch for aesthetic diversity and stylistic control. We've raised over $83M and are backed by world-class investors such as a16z, Bain Capital, and Abstract. We work full-time and in-person at our waterfront office in San Francisco. We care about creativity: our team includes musicians, designers, visual artists, and engineers. We're looking for someone with deep experience in large-scale finetuning of diffusion models and posttraining techniques. We have loads of high-quality data and aim to enhance the quality and aesthetics of the models we're building. OUR CULTURE - We work full-time and in-person at our North Beach office in San Francisco. - We believe that demonstrated interest in the creative space is key: our team includes musicians, designers, visual artists and more. - Fast iteration and execution speed. Bias towards action, agency, and independence. WHAT YOU'LL DO - Finetune diffusion models at scale to improve image aesthetics and quality. - Implement posttraining techniques ranging from supervised finetuning, preference optimization, reinforcement learning, on-policy distillation, and various distillation / acceleration techniques. - Design comprehensive eval suites and reward designs for the reinforcement learning stage focused on image space. - Train custom VLM as reward models as part of our reward design. - Train custom LLMs for prompt expansion through finetuning and reinforcement learning. - Coordinate with data teams and partners to manage collection of preference data and model evaluation results. - Work on safety alignment of our models for open source release. - Collaborate with our AI research and engineering teams to integrate advancements into our products. WHAT WE'RE LOOKING FOR - Proven work of posttraining diffusion models for image or video generation. - Experience with large-scale model training, inference, and optimization. - Strong understanding of both LLM and diffusion post training pipelines and algorithms such as PPO, GRPO, DPO, OPD, and MOPD. - Strong proficiency in PyTorch and understanding of its inner workings. - Strong background in distributed training paradigms such as FSDP, CP, SP, USP, TP, and EP. Knowing how different parallelism strategies work together and their tradeoffs. - Good knowledge of low precision training / inference in FP8, NVFP4, and MXFP8. - Good understanding of algorithms and techniques used in fast inference engines such as vLLM and sglang as well as existing RL frameworks in LLM space such as slime, miles, tinker, and verl. - Understanding of various RL infrastructure and optimization techniques such as async RL, fast weight transfer, pipelining rollouts, managing off policy data. - Ability to monitor model regression and identify weak areas and turn them into concrete evals and reward design. - Experience training VLM models. Many of our custom reward models use VLM to provide reward signals for our models. - Keeping up with the developments in related fields such as LLM, VLM, representation learning, and robotics research. - Being comfortable working in a goal-oriented research environment. - Having good judgement around when one should explore different training strategies and when it's time to commit to a specific strategy to scale compute and data. - Comfortable working with underspecified goals. We expect every technical member to take an ambiguous research goal and break it down into concrete requirements, plans, experiment plan, and execution items. - Good research taste — bias towards simplicity and methods that scale well with compute, data, and minimal human supervision. WHAT WE OFFER - Team: Work alongside a world-class team building the future of AI creative tooling - Impact: Significant scope and company-wide impact - Competitive compensation: generous salary & equity packages - Health & wellness: 100% health & 99% dental/vision insurance premiums covered for employees, health FSA accounts, & long-term disability coverage - Time off: Flexible PTO policy - Financial planning: 401k with a 4% company-sponsored match - Meals in the office: breakfast, lunch, dinner - you name it, we'll cover it - Transit: Ubers covered to & from the office - Sponsorship: We're open to sponsoring international visas where we can (e.g., STEM OPT, OPT, H-1B, O-1, E-3). - And more! Please note the above benefits & perks are for full-time employees
Applied Machine Learning
ABOUT IDEOGRAM Ideogram’s mission is to make world-class design accessible to everyone, multiplying human creativity. We build proprietary generative media models and AI native creative workflows, tackling unsolved challenges in graphic design. Our team includes builders with a track record of technology breakthroughs including early research in Diffusion Models, Google’s Imagen, and Imagen Video. We care about design, taste, and craft as much as research and engineering – shipping experiences that creatives actually love. We’ve raised nearly $100M, led by Andreessen Horowitz and Index Ventures. Headquartered in Toronto with a growing team in NYC, we're scaling fast, aiming to triple over the next year. We're a flat team with a culture of high ownership, collaboration, and mentorship. Try Ideogram at ideogram.ai http://ideogram.ai, and check out the following links to learn more about our work: Ideogram 4.0 https://ideogram.ai/models/4.0/, Enterprise https://ideogram.ai/enterprise/, and Custom Models https://ideogram.ai/features/custom-models/. The Opportunity As an Applied ML Engineer at Ideogram, you’ll bridge research and product – turning frontier generative models into production features across our first-party app and API. You’ll experiment quickly, build rigorous evaluations and datasets, and partner with research, engineering, infra, while working directly/frequently with clients to ship reliable and scalable ML systems. You’ll fine-tune and deploy models for creative use cases (text-to-image, image-to-text, image enhancement and editing, multimodal), set clear client success metrics (quality, latency, cost), and contribute to safety, monitoring, and reliability of systems. You’ll lead 0 to 1 projects that shape Applied ML enterprise practices at Ideogram, while delivering features that create delight and real value for our users. What We’re Looking For - 1+ years of building and shipping ML products - You write backend code in Python/ PyTorch/ Jax - You design benchmarks and evaluation metrics, run error analyses, and debug numerical stability across data, training, and inference - You’ve taken ML features from idea to evaluation to production with measurable gains (quality, latency, or cost) - You collaborate with the product team to define success criteria and iterate quickly and pragmatically - You’re comfortable curating, labeling, and cleaning datasets, and designing evaluation corpora and failure-mode analyses - You’re familiar with modern deep learning such as transformers, diffusion, and encoders - You bring ownership, urgency, curiosity, and learn fast in a startup setting - Strong communication and interpersonal skills OUR CULTURE We’re a team of exceptionally talented, curious builders who love solving tough problems and turning bold ideas into reality. We move fast, collaborate deeply, and operate without unnecessary hierarchy, because we believe the best ideas can come from anyone. Everyone at Ideogram rolls up their sleeves to make our products and our customers successful. We thrive on curiosity, creativity, and shared ownership. We believe that small, dedicated teams working together with trust and purpose can move faster, think bigger, and create amazing things. Ideogram is committed to welcoming everyone — regardless of gender identity, orientation, or expression. Our mission is to create belonging and remove barriers so everyone can create boldly. WHAT WE OFFER 💸Competitive compensation and equity designed to recognize the value and impact of your contributions to Ideogram’s success. 🌴 4 weeks of vacation to recharge and explore. 🩺 Comprehensive health, vision, and dental coverage starting on day one. 💰 RRSP/401(k) with employer match up to 4% to invest in your future from the moment you join. 💻 Top-of-the-line tools and tech to fuel your creativity and productivity. 📍 Toronto HQ perks: Steps from Union Station and the PATH, with daily in-office lunches and dinners. 🔍 Autonomy to explore and experiment — whether you’re testing new ideas, running large-scale experiments, or diving into research, you’ll have access to compute/resources you need when there’s a clear business or creative use case. We encourage curiosity and bold thinking. 🌱 A culture of learning and growth, where curiosity is encouraged and mentorship is part of the journey.
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