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AI Scientist - Robotics
ABOUT MISTRAL We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About Mistral At Mistral we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation, with teams distributed between Europe, the USA and Asia. We are creative, low-ego and team-spirited. At Mistral, we develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit. Mistral is hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI. What will you do *Research and develop novel AI methods for general-purpose mobile manipulation robots *Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale *Work cross-functionally with other scientists, engineers and product teams to deploy AI systems on real robot platforms About you *You have hands-on experience either building and deploying AI systems on physical robots or developing large vision-language models *You are a highly proficient software engineer in at least one programming language (preferably Python) *You have hands-on experience with AI frameworks (preferably PyTorch) *You have high engineering competence. This means being able to design complex software and make it usable in production *You are a self-starter, autonomous and a team player Now, it would be ideal if *You have experience in one or more of the following: navigation, manipulation, simulators, 3D, embodied reasoning or vision-language-action models *You can navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment *You have a strong publication record in a relevant scientific domain Benefits in France 💰 Competitive cash salary and equity 🥕 Food : Daily lunch vouchers 🥎 Sport : Monthly contribution to a Gympass subscription 🚴 Transportation : Monthly contribution to a mobility pass 🧑⚕️ Health : Full health insurance for you and your family 🍼 Parental : Generous parental leave policy 🌎 Visa sponsorship By applying, you agree to our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy. WHAT DO WE OFFER? We support our employees’ well-being, growth, and work-life balance, with a range of global benefits designed to meet the diverse needs of our team members worldwide. Health & Family - Healthcare Coverage 100% employer-sponsored premium plans for medical, dental, and vision care for you and your dependents. - Parental Leave 20 weeks of paid leave for all primary parents. - Childcare Support Reserved daycare seats or financial assistance for working parents. Financial & Career Planning - Retirement Plans Competitive employer-matched contributions in applicable markets (e.g., 6% 401k match in the US, 5% pension contribution in the UK) to secure your financial future. - Relocation Support Financial assistance for moving expenses, visa sponsorship, and settling-in services for you and your family. Daily Life & Wellness - Meal Allowances Monthly stipends, vouchers, or catered in-office meals, depending on your office location. - Transportation Support Monthly allowances for public transport, parking, or sustainable mobility - Fitness & Wellness Subsidies or memberships for gyms, wellness programs, or fitness activities Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Research Engineer, Economic Research
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 Research Engineer on the Economic Research team, you will design, build, maintain critical infrastructure that powers Anthropic's research on AI's economic impact. You will work with data systems from across Anthropic, including our research tools for privacy-preserving analysis . The Economic Research team at Anthropic studies the economic implications of AI on individual, firm, and economy-wide outcomes. We build scalable systems to monitor AI usage patterns and directly measure the impact of AI adoption on real-world outcomes. We publish research and data that is clear-eyed about the economic effects of AI to help policymakers, businesses, and the public understand and navigate the transition to powerful AI. We use our insights to inform Anthropic decisions internally across the business. In this role, you will work closely with teams across Anthropic—including Data Science and Analytics, Data Infrastructure, Societal Impacts, and Public Policy—to build scalable and robust data systems that support high-leverage, high-impact research. Strong candidates will have a track record building data processing pipelines, architecting & implementing high-quality internal infrastructure, working in a fast-paced startup environment, navigating ambiguity, and demonstrating an eagerness to develop their own research & technical skills. Responsibilities: - Build and maintain data pipelines that process large scale Claude usage logs into canonical, reusable datasets while maintaining user privacy. - Expand privacy-preserving tools to enable new analytic functionality to support research needs. - Design and implement novel data systems leveraging language models (e.g., CLIO ) where traditional software engineering patterns don't yet exist. - Develop and maintain data pipelines that are interoperable across data sources (including ingesting external data) and are designed to support economic analysis. - Contribute to the strategic development of the economic research data foundations roadmap - Ensure data reliability, integrity, and privacy compliance across all economic research data infrastructure - Lead technical design discussions to ensure our infrastructure can support both current needs and future research directions - Create documentation and best practices that enable self-serve data access for researchers while maintaining security and governance standards. - Partner closely with researchers, data scientists, policy experts, and other cross-functional partners to advance Anthropic’s safety mission You might be a good fit if you have: - Have experience working with Research Scientists and Economists on ambiguous AI and economic projects - Have experience with building and maintaining data infrastructure, large datasets, and internal tools in production environments. - Have experience with cloud infrastructure platforms such as AWS or GCP. - Take pride in writing clean, well-documented code in Python that others can build upon - Are comfortable making technical decisions with incomplete information while maintaining high engineering standards - Are comfortable getting up-to-speed quickly on unfamiliar codebases, and can work well with other engineers with different backgrounds across the organization - Have a track record of using technical infrastructure to interface effectively with machine learning models - Have experience deriving insights from imperfect data streams - Have experience building systems and products on top of LLMs - Have experience incubating and maturing tooling platforms used by a wide variety of stakeholders - A passion for Anthropic's mission of building helpful, honest, and harmless AI and understanding its economic implications. - A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description. - Strong communication skills to collaborate effectively with economists, researchers, and cross-functional partners who may have varying levels of technical expertise. Strong candidates may have: - Background in econometrics, statistics, or quantitative social science research - Experience building data infrastructure and data foundations for research - Familiarity with large language models, AI systems, or ML research workflows - Prior work on projects related to labor economics, technology adoption, or economic measurement Some Examples of Our Recent Work - Anthropic Economic Index Report: Economic Primitives - Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption - Estimating AI productivity gains from Claude conversations - The Anthropic Economic Index Deadline to apply: None. Applications are reviewed on a rolling basis The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $405,000 USD 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
Member of Technical Staff (AI Research Lead)
Perplexity is seeking an exceptional AI Research Tech Lead to drive our research strategy and lead the development of our in-house Online LLMs, the Sonar models. In this leadership role, you will set the macro research direction across different modalities, mentor a team of researchers, and take advantage of our rich query/answer dataset to continue scaling our Sonar model performance and deliver the SOTA Online LLM experience to our users. RESPONSIBILITIES RESEARCH LEADERSHIP & STRATEGY - Define and execute the macro research direction across multiple modalities, including post-training LLMs for agent trajectories and future mid-training initiatives - Lead strategic research planning and roadmap development to advance Sonar model capabilities - Drive innovation in supervised and reinforcement learning techniques for query answering - Collaborate with leadership to align research priorities with product and business objectives TEAM DEVELOPMENT & MENTORSHIP - Coach and mentor a team of AI research scientists and engineers, fostering their technical and professional growth - Establish the long-term macro research direction across the team, including our direction across different modalities - Lead hiring and onboarding of new research talent - Create a collaborative environment that encourages knowledge sharing and innovation TECHNICAL EXCELLENCE - Post-train SOTA LLMs on query answering using cutting-edge supervised and reinforcement learning techniques - Own and optimize the full stack data, training, and evaluation pipelines required for LLM post-training - Deliver Sonar models that provide SOTA query answering performance - Drive research into agent trajectories and multi-modal capabilities - Lead the technical roadmap for eventual mid-training investments CROSS-FUNCTIONAL COLLABORATION - Work closely with engineering teams to integrate Sonar models into our product - Partner with product teams to understand user needs and translate them into research priorities - Collaborate with data teams to leverage our unique query/answer dataset effectively - Communicate research progress and findings to stakeholders across the organization QUALIFICATIONS REQUIRED - Minimum of 5 years of experience working on relevant AI/ML projects with 3+ years in a technical leadership role - Proven track record of leading and mentoring technical and research teams - A Computer Science graduate degree at a premier academic intitution - Deep expertise with large-scale LLMs and Deep Learning systems - Strong programming skills with versatility across multiple languages and frameworks - Demonstrated ability to set technical vision and drive execution - Experience with pre-training and post-training techniques (self-supervised learning along with SFT/DPO/GRPO/PPO) - Self-starter with exceptional ownership mentality and ability to work in ambiguous environments - Passion for solving challenging problems and pushing the boundaries of AI research NICE-TO-HAVE - PhD in Machine Learning, Computer Science, or related areas - Experience with agent-based AI systems and multi-modal model development - Background in mid-training or pre-training of large language models - Publications in top-tier AI/ML conferences - Experience in fast-paced startup environments - Track record of translating research into production systems
Applied AI, Senior/Staff Forward Deployed Machine...
ABOUT MISTRAL We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer is an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products and building complex enterprises use-cases. They work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations. In this role, you’ll manage customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalizing our research in production settings. What you will do - You’ll individually help deploy into production use cases with a considerable business impact across various industries. - You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. - You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning. - You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. - Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback About you - You are fluent in English - You hold a PhD / master in AI / data science or you’re self-made - You have 7-10+ years as a technical individual contributor (data scientist or software engineer) on AI-based products - You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases - You have deep understanding of concepts and algorithms underlying machine learning and LLMs - You have a deep understanding of Cloud Infrastructure and how to deploy AI based products - You have deployed or built products with large scale user based - You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences Ideally you have: - Contributed to open-source projects in particular in the space of LLM - Experience as a Forward Deployed Engineer, Staff Engineer Machine Learning Engineer, Staff Data Scientist. Benefits 💰 Competitive cash salary and equity 🚑 Health Insurance 🥎 Sport : $90 for gym membership allowance 🥕 Food : $200 monthly allowance for meals (solution might evolve as we grow bigger) 🚴 Transportation : $120/month for public transport or Parking charges reimbursed By applying, you agree to our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy. WHAT DO WE OFFER? We support our employees’ well-being, growth, and work-life balance, with a range of global benefits designed to meet the diverse needs of our team members worldwide. Health & Family - Healthcare Coverage 100% employer-sponsored premium plans for medical, dental, and vision care for you and your dependents. - Parental Leave 20 weeks of paid leave for all primary parents. - Childcare Support Reserved daycare seats or financial assistance for working parents. Financial & Career Planning - Retirement Plans Competitive employer-matched contributions in applicable markets (e.g., 6% 401k match in the US, 5% pension contribution in the UK) to secure your financial future. - Relocation Support Financial assistance for moving expenses, visa sponsorship, and settling-in services for you and your family. Daily Life & Wellness - Meal Allowances Monthly stipends, vouchers, or catered in-office meals, depending on your office location. - Transportation Support Monthly allowances for public transport, parking, or sustainable mobility - Fitness & Wellness Subsidies or memberships for gyms, wellness programs, or fitness activities Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Applied AI, Senior/Staff Forward Deployed Machine...
ABOUT MISTRAL We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer is an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products and building complex enterprises use-cases. They work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations. In this role, you’ll manage customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalizing our research in production settings. What you will do - You’ll individually help deploy into production use cases with a considerable business impact across various industries. - You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. - You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning. - You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. - Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback About you - You are fluent in English - You hold a PhD / master in AI / data science or you’re self-made - You have 7-10+ years as a technical individual contributor (data scientist or software engineer) on AI-based products - You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases - You have deep understanding of concepts and algorithms underlying machine learning and LLMs - You have a deep understanding of Cloud Infrastructure and how to deploy AI based products - You have deployed or built products with large scale user based - You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences Ideally you have: - Contributed to open-source projects in particular in the space of LLM - Experience as a Forward Deployed Engineer, Staff Engineer Machine Learning Engineer, Staff Data Scientist. Benefits We have local offices in Paris, London, Marseille, Amsterdam, Lausanne and Singapore. France 💰 Competitive cash salary and equity 🥕 Food : Daily lunch vouchers 🥎 Sport : Monthly contribution to a Gympass subscription 🚴 Transportation : Monthly contribution to a mobility pass 🧑⚕️ Health : Full health insurance for you and your family 🍼 Parental : Generous parental leave policy 🌎 Visa sponsorship UK 💰 Competitive cash salary and equity 🚑 Insurance 🚴 Transportation: Reimburse office parking charges, or 90GBP/month for public transport 🥎 Sport: 90GBP/month reimbursement for gym membership 🥕 Meal voucher: £200 monthly allowance for its meals 💰 Pension plan: SmartPension (percentages are 5% Employee & 3% Employer) About The Team At Mistral AI, we are a tight-knit, nimble team dedicated to bringing our cutting-edge AI technology to the world. Our mission is to make AI ubiquitous and open. Our team values are reflected in our product values: - Cool: We have a tongue-in-cheek way of looking at things, it’s hard to describe but you know it when you see it - Precision: Our designs mirror the rigor and excellence that underpin our technology, reflecting our commitment to quality and reliability - Human-Centric: We strive to make our technology open, approachable, and accessible - Captivating: Our designs reflect the magic of our technology and our playful, exploratory approach to innovation - Ambitious: We push the boundaries of what is possible, reflecting our bold vision for the future WHAT DO WE OFFER? We support our employees’ well-being, growth, and work-life balance, with a range of global benefits designed to meet the diverse needs of our team members worldwide. Health & Family - Healthcare Coverage 100% employer-sponsored premium plans for medical, dental, and vision care for you and your dependents. - Parental Leave 20 weeks of paid leave for all primary parents. - Childcare Support Reserved daycare seats or financial assistance for working parents. Financial & Career Planning - Retirement Plans Competitive employer-matched contributions in applicable markets (e.g., 6% 401k match in the US, 5% pension contribution in the UK) to secure your financial future. - Relocation Support Financial assistance for moving expenses, visa sponsorship, and settling-in services for you and your family. Daily Life & Wellness - Meal Allowances Monthly stipends, vouchers, or catered in-office meals, depending on your office location. - Transportation Support Monthly allowances for public transport, parking, or sustainable mobility - Fitness & Wellness Subsidies or memberships for gyms, wellness programs, or fitness activities Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Senior Software Engineer, Agentic Data Products
Scale GP is Scale’s enterprise Generative AI platform, providing APIs and infrastructure for knowledge retrieval, inference, evaluation, and intelligent automation. We power mission-critical workflows for leading enterprises by helping teams turn complex data and models into reliable, production-ready AI systems. We’re forming a new Agentic Data Products team focused on building the next generation of agent-powered tools that ground AI in real operational workflows. Our goal is to help enterprises demystify their data layers and deploy intelligent, agentic systems that can reason over data, take action, and deliver measurable outcomes. This is a 0→1 build team. We’re looking for a sharp, product-minded Senior Engineer who thrives in ambiguity, moves quickly, and enjoys building new systems from scratch alongside customers and cross-functional partners. You’ll work closely with product, forward-deployed engineers, data scientists, and applied AI teams to turn real-world problems into scalable, production solutions. If you like shipping fast, owning outcomes, and working across the stack—from polished frontends to distributed backends to LLM integrations—this role is for you. What You’ll Do - Own major full-stack product areas, driving features from concept and design through production deployment - Build intuitive, high-performance frontend experiences using React + TypeScript - Develop reliable backend services in Python, working with distributed systems, data pipelines, and AI/ML infrastructure - Integrate LLMs, vector databases, and agentic frameworks to power intelligent workflows and decision-making systems - Ship quickly through tight experimentation loops while maintaining high quality and reliability - Help define the technical direction and architecture of a brand-new team and product surface - Adapt across the stack and learn new tools as needed to solve real problems end-to-end Ideal Experience - 5+ years of full-time software engineering experience - 0-1 product build experience - Familiarity with LLMs, embeddings, vector databases, or modern AI data products/tools - Experience with distributed systems and cloud-based architectures - Prior experience mentoring or leading team What We Value - Strong product intuition and customer empathy - Bias toward action and rapid iteration - Ownership mentality — you see problems through to outcomes - Comfort collaborating across engineering, product, data science, and applied AI - Excitement about building agentic systems that make AI genuinely useful in the real world Please note that in order to maintain integrity to our Scale titling philosophy, we do not internally use titles such as “senior,” but have levels to reflect seniority. Our Talent Acquisition team works closely with our employees to provide them the opportunity to grow their careers and demonstrate the scope of work in other ways aside from job titles. If you have further questions, please direct them to your recruiter and/or hiring manager, who can provide more insight. 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, determined by work location and additional factors, including job-related skills, experience, 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. The base salary range for this full-time position in the location of San Francisco is: $216,000 - $270,000 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, Cisco, DLA Piper, 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.
Sr. Software Engineer, AI, Search & Knowledge Plat...
Our team builds the foundational systems that power search across Apple - from Siri to Apple Music to the App Store and beyond. We develop agentic orchestration frameworks, configuration management infrastructure, services and APIs that enable product teams to deliver fast, reliable, and intelligent search experiences to hundreds of millions of users. We're looking for a Senior Software Engineer to design and build the distributed systems that underpin search at Apple scale. You will work at…
Sr Machine Learning Engineer, Proactive - ML Syste...
Apple's products combine the best hardware and incredible software to deliver magical experiences to our customers. The Proactive Intelligence team builds features that anticipate customer's needs and create personalized experiences by adapting to user behaviors with machine learning running locally on users' devices. We are seeking exceptional software engineers with a strong machine learning background to join our team where we're making Apple Intelligence more capable and personalized to…
Senior Software Engineer, AI Tools - Special Proje...
Apple's next generation of intelligent experiences requires new ways for engineers, designers, animators, roboticists, and researchers to explore, visualize, and shape how AI systems behave. We're looking for a senior tools engineer who can build the applications, pipelines, and creative workflows that make this possible - from interactive data visualization tools to content creation utilities, user-study data collection systems, and annotation platforms.\\n\\nYou will develop the software…
Senior ML Engineer, Apple Ray, Apple Data Platform
The Apple Ray team is seeking a Senior / Staff Software Engineer with strong distributed systems expertise and a solid background in machine learning. In this hybrid role, you will design and build core components of Apple's unified data+ML platform powered by open-source Ray, while also partnering with ML teams to ensure the platform meets the needs of large-scale training and inference workloads.\\nYou will contribute to the distributed runtime, orchestration layer, and system APIs that…
Senior Computer Vision Machine Learning Engineer,...
Join a dynamic AI and Machine Learning team focused on protecting millions of users from fraud and securing their identity every day. We operate at the intersection of cutting-edge research and production systems, collaborating across Apple-from other ML teams to Operations to Engineering-with strong leadership support and investment in our mission-critical work.\\n\\nWe value continuous learning, intellectual curiosity, and commitment to excellence while maintaining focus on user privacy and…
Senior Computer Vision / Machine Learning Engineer...
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build or service we create is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring…
Senior Computer Vision and Machine Learning Engine...
At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! The Creativity Apps team needs your help shaping the next generation of creative editing tools by working on pioneering technologies to surprise and delight pros and enthusiasts alike.\\n\\nAs a Senior Computer Vision & Machine Learning Engineer, you will work alongside our world-class creatives, designers, and engineers to help innovate in the creative space in ways that only Apple…
Senior Computer Vision and Machine Learning Engine...
At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! The Creativity Apps team needs your help shaping the next generation of creative editing tools by working on pioneering technologies to surprise and delight pros and enthusiasts alike.\\n\\nAs a Senior Computer Vision & Machine Learning Engineer, you will work alongside our world-class creatives, designers, and engineers to help innovate in the creative space in ways that only Apple…
Pre-silicon ML and Compute Framework Engineer, Gra...
Apple's Graphics, Games, and Machine Learning team provides the compute and graphics software foundation across all of our innovative products including iPhone, iPad, Apple TV, Mac, Vision Pro, and Apple Watch.\\nThe Pre-silicon Compute Frameworks team is seeking a senior engineer to influence and lead new features in Metal and Metal compute frameworks through our next-generation GPU hardware roadmap.\\n The Pre-silicon Compute Frameworks team is responsible for API design and development…
On-Device Machine Learning Engineer
We're starting to see the incredible potential of multimodal foundation and large language models, and many applications in the computer vision and machine learning domain that previously appeared infeasible are now within reach. We are looking for a highly motivated and skilled Machine Learning Integration Engineer to join our team in the Video Computer Vision group and help us ship cutting edge computer vision technology on Apple devices. The Video Computer Vision org has pioneered features…
ML Platform Engineer
We're starting to see the incredible potential of multimodal foundation and large language models, and many applications in the computer vision and machine learning domain that previously appeared infeasible are now within reach. We are looking for highly motivated and skilled Machine Learning Platform Engineers to join our team in the VCV group and help us enable that potential for realtime human understanding on Apple devices.\\n\\nThe VCV org has pioneered human-centric real-time features…
Metal API & Shader Instrumentation Engineer, Graph...
The Metal API and Shader Instrumentation team is directly responsible for augmentation of system-level components to detect and diagnose Metal API and shading language issues and surface them to developers. The team collaborates closely with Metal production frameworks, GPU driver, compiler, ecosystem, tooling, and platform OS teams to deliver the best possible Metal developer experience.\\n The successful candidate is a critical thinker with a passion for developing GPU APIs, capable of…
Machine Learning Software Engineer for Location an...
Help craft the next generation of spatial awareness and applied perception technologies at Apple. Our team focuses on innovating, building, and productizing new ways for our devices to understand and interact with the physical world and the user. We leverage cutting-edge computer vision, foundation models, and machine learning to enable highly intuitive, seamless forms of human-computer interaction.\\n\\n Join a team that designs, implements, and powers brand new technologies and services on…
Machine Learning Engineer, Computer Vision - Strat...
Apple's Strategic Data Solutions (SDS) team is looking for a hard-working individual who is passionate about implementing and operating analytical solutions that have direct, measurable impact to Apple and its customers. As a CV MLE on the SDS team, you will build end-to-end solutions for preventing fraud, waste, and abuse while safeguarding the customer experience. The day-to-day work consists of identifying new fraud leads by connecting different data sources together; working with a team of…
Machine Learning Engineer - Computer Vision & Data...
At Apple, we are dedicated to creating technologies that enrich people's lives. Our teams develop products and experiences that empower millions of users globally, by combining world-class engineering with a deep commitment to innovation, quality, and privacy.\\n\\nWe are seeking a Machine Learning Engineer with strong expertise in computer vision and large-scale data processing. In this role, you will contribute to the development of next-generation real-time sensing and data intelligence…
Machine Learning Engineer and Computer Visions Eng...
Join our machine learning team at Apple to develop computer vision and localization technologies that help devices understand their place in the world. We're seeking a talented Machine Learning Engineer who excels at transforming research innovations into production-ready solutions, tackling the full spectrum from training large-scale models to optimizing them for real-time, on-device performance. If you're passionate about solving hard problems in spatial intelligence-from challenging…
Machine Learning/Computer Vision Engineer - Senior
The Video Computer Vision organization is working on exciting technologies for future Apple products. Our team delivers computer vision and machine learning algorithms that power many Apple technologies like human understanding and human intelligence algorithms with applications for digital humans, health and AI. In this role, you will work closely with our team of experts in computer graphics, computer vision and machine learning to design and build solutions to previously unsolved challenges…
GPU Compiler Engineer, Graphics, Game and ML
Apple GPU Software team provides developers access to harness the power of the graphics processor unit (GPU) across all of Apple's innovative products, from iPhone, iPad, Apple TV, Apple Watch to vision to Mac product line. Our team responsibilities encompass design new language constructions, compiler transformation, and developer tools to the GPU on Apple's hardware. Metal provides near-direct accesses to the GPU to give developers more control of the HW and enable developer to take…
Deep Learning Engineer - Perception Algorithms
Do you have a passion for deep learning and computer vision problems? We are looking for someone who thrives on collaboration and wants to push the boundaries of what is possible today!\\n\\nJoin our team of committed deep learning engineers in the Video Computer Vision group! We are a centralized applied research and engineering organization responsible for developing real-time on-device Computer Vision, Machine Perception, and Generative technologies across Apple products. Our shipped…
Computer Vision Engineer III, Senior (Rendering an...
Job Description About Lockheed Martin Space: Space is a critical domain, connecting our technologies, our security, and our humanity. While others view space as a destination, we see it as a realm of possibilities, where we can do more - we can innovate, invest, inspire, and integrate our capabilities to transform the future. At Lockheed Martin Space, we aim to harness the full potential of space to cultivate innovation, reduce costs, and push the boundaries of what technology can achieve.…
Computer Vision Software Engineer - Camera Technol...
iPhone is the most popular camera in the world, with billions of photos captured every year. The seamless integration of software and hardware has led to breakthrough camera features - from the Photonic Engine and Portrait mode to Super-high-resolution photos - delivering magical experiences that surprise and delight our customers.\\nThe Camera Technologies & Systems team in the Camera & Photos org delivers amazing quality photos and videos by combining state of the art computer vision, image…
Computer Vision Research Engineer - Apple Maps 3D...
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through…
Computer Vision Software Engineer, Camera & Photos
iPhone is the most popular camera in the world, with billions of photos taken every year. The seamless integration of software and hardware has led to camera features like the Photonic Engine, Portrait mode, and Super-high-resolution photos, which deliver magical experiences that surprise and delight our customers!\\n\\nThe Camera Technologies & Systems team in the Camera & Photos org delivers amazing quality photos and videos by combining state of the art computer vision, image processing,…
Computer Vision and Machine Learning Engineer, Cre...
At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! The Creativity Apps team needs your help shaping the next generation of creative editing tools by working on pioneering technologies to surprise and delight creative pros and enthusiasts alike. \\n\\nAs a Computer Vision & Machine Learning Engineer, you will be working alongside our world-class creatives, designers, and engineers to help innovate in the creative space in ways that…
Computational Photography/Computer Vision Machine...
In the Camera Imaging Algorithms team in the Camera & Photos organization, we are looking for passionate, self-driven computational photography/computer vision machine learning engineers who enjoy both innovating down to the details and collaborating with broader cross-functional teams to bring exciting new imaging technology to our Apple products. We have worked on many core algorithms in the Apple camera imaging pipeline like Deep Fusion, Photonic Engine, SmartHDR, and Panorama. In this…
Computer Vision and Machine Learning Engineer
Apple is where individual imaginations converge, united by values that drive exceptional innovation. Every product we develop and service we deliver emerges from our collective commitment to strengthening each other's ideas. This collaborative spirit stems from a shared conviction that we can create something extraordinary and deliver it to the world, transforming lives for the better. The diversity of our people and their perspectives fuels the innovation that permeates everything we…
Applied Machine Learning Research Engineer - Multi...
We're starting to see the incredible potential of multimodal foundation and large language models, and many applications in the computer vision and machine learning domain that previously appeared infeasible are now within reach. We are looking for a highly motivated and skilled Applied Machine Learning Research Engineer to join our team in the Video Computer Vision group and help us push the boundaries of human understanding. The Video Computer Vision org has pioneered human-centric real-time…
AIML - Machine Learning Engineer - Computer Vision...
The Machine Intelligence, Neural Design (MIND) team, part of Apple's AIML organization, is leading Apple-wide innovation on HW/SW co-design for efficient inference. With roots in ML, computer vision, and energy efficiency research, our team is strategically positioned to contribute to diverse initiatives ranging from shipping features in well-known Apple products to ambitious, long-term research projects.\\n\\nWe are seeking a hands-on Machine Learning Engineer to drive the data & evaluation…
Principal Engineer
Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Qualcomm's Computer Vision Systems team is building the intelligence behind the world's most advanced Snapdragon-powered devicesfrom next-generation mobile phones to autonomous vehicles, IoT, robotics, and immersive AR/VR platforms. We are looking for a Machine Learning Engineer specializing in developing computer vision algorithms in the following domains:…
Senior Data Scientist - Growth Measurement
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY GROWTH MEASUREMENT? In this role, you will leverage your expertise in data science, statistics, and causal inference to develop measurement framework and product to deepen our quantitative understanding of growth efforts, which includes but not limited to performance marketing efficacy, attribution modeling and incrementality measurement. You will collaborate with cross-functional teams to develop and implement data-driven products and strategies that maximize the impact of our growth initiatives. You will also report to Senior Data Science leadership on the team. You Will: - Conduct comprehensive analyses and develop measurement framework for growth efforts using advanced statistical methods and causal inference methodologies - Collaborate with marketing, product, and engineering teams to find opportunities for improvement and build data-driven solutions. - Contribute to the development of a robust data infrastructure to support user growth. - Communicate insights and discuss recommendations with cross function partners translating complex technical concepts into actionable insights. - Partner with different product teams to optimize user growth strategies through insights, strategy, and leadership. You Have: - A MSc, PhD, or equivalent experience in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields. - 4+ years of experience in a data science role, with a focus on marketing science and campaign evaluation. - Strong knowledge and practical application of statistical methods, causal inference techniques, and experimental design. - Experience working with large datasets and proficiency in SQL, R/Python, and data visualization tools. - Experience in the gaming industry and/or multisided marketplaces. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $220,300 - $262,380 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox 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. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Software Engineering
Overview Microsoft Teams is the hub for modern collaboration—bringing together everything teams need to succeed, all within the Office 365 ecosystem. It serves as the canvas that unifies your content, tools, people, and conversations in one seamless experience. As one of Microsoft’s most dynamic and impactful products, Teams is redefining the future of teamwork—and we’re just getting started. We're looking for a full stack Software Engineer II and Senior Software Engineer to join and help lead engineering efforts across the team to push the boundaries of what’s possible with Generative AI, Large Language Models (LLMs), and a world-class AI stack powering Teams Copilot and other cutting-edge AI experiences. You’ll be part of a team at the forefront of AI innovation, leveraging the latest in deep learning, natural language processing, and conversational AI to shape the future of work. We take pride in how we build. Our team runs lean, stays customer-obsessed, and makes decisions grounded in data. We embrace a live-site-first, metrics-driven culture that minimizes tech debt and maximizes impact. In this role, you’ll take end-to-end ownership, drive meaningful outcomes, and directly influence customer satisfaction and business growth. This is a unique opportunity to sharpen your system design skills and work with a modern tech stack closely collaborating across teams and organizations. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Apply cutting-edge techniques in deep learning, natural language processing, and conversational AI to enhance the intelligence and user experience of Microsoft Teams. Prototype, experiment, and evaluate new ideas to deliver next-generation AI-powered Teams Meeting features that redefine how teams communicate. Collaborate with key stakeholders to develop overall product vision as well as strategies on how to realize the vision by identifying technical challenges & proposing solutions. Develop features that delight customers while upholding the highest standards of availability, reliability, performance, and scalability—never compromising on engineering fundamentals. Influence and define new designs, architectures, standards, and reusable service libraries that empower teams across Microsoft to build at scale. Design, develop and operate scalable and reliable services with great monitoring and telemetry support. Adopt best practices, tools and processes for a data-driven, quality-focused release of Microsoft Teams as frequently as possible to our customers. Drive technical excellence. Qualifications Required Qualifications: - Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python - OR equivalent experience Preferred Qualifications: - Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python - OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python - OR equivalent experience. - Experience building AI features and working with Large Language Models (LLMs). - Experience with distributed computing frameworks (Kubernetes, Spark). - Experience improving system performance, availability, and scalability. Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Staff Applied Modeling Engineer - Unpublished R&D...
ML engineers at Riot own the full lifecycle of machine learning in production - from problem framing through model design, deployment, and operation - building systems that serve players at global scale. They work across disciplines with engineers, data scientists, designers, and product teams to turn ML capabilities into player-facing experiences and tools for making great games. As a Staff Applied Modeling Engineer on an unpublished R&D product, you will lead the modeling strategy for the team - establishing architecture patterns, setting standards, and continuing to design solutions for the highest-complexity problems directly. Your work will span multi-month efforts and across multiple disciplines, shaping how the team (and Riot) approach applied ML. You will report to the Senior Engineering Manager of the Tech Foundations team within an R&D game project. Responsibilities: - Work closely with designers, artists, and other engineers to discover and conceptualize opportunities for AI-powered workflow enhancements - Establish AI/ML architecture patterns within the project and design solutions for high-complexity problems; guide solution design considering integration and operational constraints - Refine modeling and feature invention strategy for the project; improve architecture trade-offs, signal extraction techniques, and quality standards for complex data sources - Refine multi-model system design and model optimization; improve interaction analysis, dependency management, and performance evaluation techniques - Establish pipeline architecture patterns within the project, aligning with Riot’s shared tech ecosystem; guide workflow design and deployment automation; set reliability standards - Establish research-to-production practices in partnership with research scientists; balance cutting-edge techniques with production reliability - Elevate the team’s expertise in advanced AI/ML methods for game development through mentorship and documentation, and contribute to team health through cross-disciplinary collaboration; level up developers across discipline Required Qualifications: - Bachelor’s degree or higher in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience - 6+ years of experience delivering ML systems in production, including 3+ years in applied modeling or ML research roles - Evidence that your modeling choices have been adopted beyond your immediate team - whether through reusable patterns, shared architectures, or influence on how others approach problems - History of working with complex or unconventional data sources where off-the-shelf feature engineering doesn’t apply - Experience in production environments with interacting models, feedback loops, or systems where model behavior has downstream consequences beyond a single prediction - Comfort with ambiguity - you’ve shipped in situations where the success metric, the right approach, or both were unclear at the start. - Track record mentoring engineers across roles and levels; evidence of raising the bar for people around you. - Strong written and verbal communication skills across technical and non-technical audiences - Passion for player experience, games, or creative technology - Proficiency in C++ Desired Qualifications: - Background in reinforcement learning, imitation learning, generative models, or simulation-based training in interactive environments - Familiarity with ML platform components (model serving, feature stores, ML observability) - Experience working in a AAA game engine (i.e. Unreal) - Experience building multiplayer games - Experience implementing tools for game designers and/or artists - Experience mentoring technical ICs and contributing to engineering culture For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: - Safeguarding confidential and sensitive Company data - Communication with others, including Rioters and third parties such as vendors, and/or players, including minors - Accessing Company assets, secure digital systems, and networks - Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Principal Software Engineering-CoreAI
Overview As a Principal Software Engineer within Microsoft Foundry, Core AI , you will play a critical role in building and evolving the platform that enables developers and enterprises to design, deploy, and scale intelligent agents and generative AI systems. You will drive technical direction across the full software development lifecycle, owning architectural decisions for complex, large‑scale systems that integrate cutting‑edge AI technologies while meeting the highest standards of quality, reliability, security, and compliance.In this role, you will anticipate and deeply understand customer and developer needs in complex scenarios, translating them into durable platform capabilities and delightful experiences. You will provide technical leadership across teams, guiding design tradeoffs, identifying systemic challenges, and delivering solutions that create long‑term impact while accelerating value to customers. As a senior technical voice, you will mentor engineers, influence without authority, and raise the engineering bar through strong design principles, rigorous code reviews, and a culture of continuous learning.You will collaborate closely with partner teams across Core AI and Azure to ensure seamless integration, scalable architectures, and robust deployment and testing frameworks. You will champion automation, operational excellence, and secure‑by‑design practices, helping define how AI systems and agent platforms are built responsibly and at scale—ultimately shaping how the world interacts with intelligent systems. Responsibilities AI-Native Development Drives the improvement of artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC). Proactively takes responsibility for the content of their AI-generated requirements, design documents, code, and other assets, assisting the rest of the team to do the same. Incorporates Responsible AI practices into the SDLC to ensure appropriate controls over AI-generated assets. Intentionally applies SDLC and engineering health measures (e.g., Accelerate, SPACE framework, Engineering System Success Playbook [ESSP]) to guide improvements to processes and practices, especially those involving AI. Experiments with AI tools and practices to improve their own capabilities, and provides recommendations on how to adopt them to the rest of the team. Coding Provides technical leadership during code reviews for a solution/product area to assure it meets team standards, contains the correct test coverage, and is appropriate for the product or solution area. Brings expertise to code reviews to help improve code quality, proactively coaching and providing feedback to develop other engineers' skills. Ensures coding standards are followed. Screens for and establishes best practices in reviews and provides feedback on code to drive adherence to best practices. Uses automated source code analysis tools that are incorporated into the build/development process.Leads by example across teams and mentors others to produce extensible, maintainable, well-tested, secure, and performant code used across the company that adheres to design specifications. Leads efforts to continuously improve code performance, testability, maintainability, effectiveness, and cost, while accounting for and incorporating relevant trade-offs. Identifies best practices and coding patterns (e.g., leveraging state-of-the-art generative artificial intelligence [GenAI], approaches to source code organization, naming conventions) and provides deep expertise in the coding and validation strategy. Creates and applies metrics to drive code quality and stability, appropriate coding patterns, and best practices. Leads efforts to identify and anticipate blockers or unknowns during the development process, escalate them, and communicate how they will impact timelines, and then drives the identification and implementation of strategies and/or opportunities to address them.Acts as an expert on using debugging tools, tests, logs, telemetry, and other methods, and proactively leads verification of assumptions through while developing code before issues occur across products and teams in production. Leverages minimal telemetry data, triangulates issues, and resolves with minimal iterations. Leads incident retrospectives to identify root causes of problems, and owns the implementation of repair actions and the identification of mechanisms to prevent incident recurrence. Drives applying least-access principles, using logging, telemetry, and other appropriate mechanisms to investigate issues while retaining privacy and security, and champions those practices across the team. Design Establishes best practices and mentors others to create a clear test strategy that ensures solution quality, prevents regression from being introduced into existing code. Establishes best practices and mentors others on ensuring test plans incorporate security testing to validate security invariants (including negative cases). Provides technical leadership on adding new tests to cover gaps, deleting or fixing broken tests, and improving the speed, reliability, and defect localization of the overall test suite across a solution or product. Mentors others on, and builds testable code and considers testability during design across solutions and/or products. Acts as a thought leader for understanding different types of tests that can be done on a particular system (e.g., unit tests), and maintaining up-to-date understanding of testing architectures used both across Microsoft and across the industry, and applies them across the architecture as appropriate. Designs and executes plans for redesigning or rearchitecting difficult or untestable sections of code across solutions and/or products. Leverages artificial intelligence (AI) tools for test automation.Oversees, influences, and owns efforts and design discussions for the overall system architecture of entire products/solutions that are deeply complex and often ambiguous. Owns the testing and exploration of various design options for entire products/solutions, ensuring the strengths and weaknesses of each option are outlined and making recommendations for which design option is best. Owns creating proposals for architecture and design documents, and leads testing of hypotheses and deeply complex proposed solutions. Shares and acts on findings from investigations, owns design decisions, and oversees the less experienced team members. Leads the development of design documents that support user stories and other product requirements. Proactively identifies and evaluates new technologies to solve classes of problems, and determines and advocates for how to integrate these technologies within existing systems. Leads design discussions with the team and shares findings/learnings from investigations, owns design decisions. Provides technical leadership to ensure system architecture and individual designs meet performance, scalability, resiliency, disaster recovery, cost of goods sold (COGS), and other requirements and expectations. Upholds Microsoft standards of security, privacy, and other compliance requirements and expectations. Understands and coaches less experienced engineers on the importance of building solutions that expand upon the work of others. Leads the refinement of products through deeply complex data analytics, and makes informed decisions in engineering products through data integration. Reviews deeply complex designs/architectures within and across teams to provide recommendations for improvements.Provides technical leadership for the identification of dependencies and incorporating them into the development of design documents for a product, application, service, or platform. Leads the active identification of other teams and technologies to leverage, how they interact, and where their own system or team can support others. Helps to create relationships and links impacting upstream and downstream interactions between systems and ensures security, compliance, performance, and reliability can be achieved across the entire stack. Drives coordination and collaboration with other teams to reach common goals where dependencies and validation concerns overlap. Enables and fosters communications and proactively negotiates across teams to resolve conflicts around dependency ownership and required work. Drives agreements between dependent teams to align to the delivery schedule. Engineering Excellence Leads the identification of requirements for, and the comprehensive application of automation within production and deployment across complex products, targeting zero-touch deployment when possible. Runs code in simulated or other non-production environments to confirm functionality and error-free runtime across complex products.Applies and helps to create best practices and shares information with other engineers for building code based on well-established methods and secure design principles while also applying best practices for new code development and formal validation of security invariants. Leads product development and scaling to customer requirements and applies best practices for meeting scaling needs and performance expectations and security promises, and holds accountability for product/solution areas that do not meet expectations.Provides technical leadership through efforts to ensure the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility across solutions and teams. Leads in developing and assures the presence of visible evidence (e.g., audit trail) to demonstrate compliance for products. Develops and maintains a deep understanding of the implications of onboarding new technologies following expectations of compliance at Microsoft. Provides thought leadership and maintains an up-to-date understanding of both global and local regulations for technologies and system applications to ensure regulations are followed and met.Remains current by investing time and effort into being informed staying abreast of current developments. Proactively seeks new knowledge, evaluating new trends, technical solutions, and patterns, assessing how to adapt them to current problems, and shares knowledge with other engineers. Conducts learning and literary sessions to raise awareness on relevant engineering design principles (e.g., security, testability, performance, scalability, accessibility, product knowledge).Shares and teaches others best practices about new tools and strategies. Leads efforts and mentors others to build software developer tools to support easier, faster, and more effective software engineering across products. Identifies whether open source or internal code is available to address coding needs for a set of complex products, and reuses it in a responsible manner where applicable. Holds subject matter expertise in tools inside and outside current areas of expertise. Leads identification and/or creation of tools that are useful for building the product. Shares best practices and teaches others about new tools and strategies.Drives understanding and applying security best practices and establishes code invariants to model "security as code," ensuring each layer is independently secure, and minimizing risk. Supports and/or adopts, and may set security standards for clear security code review practices for a set of complex products that align with design and engineering principles to raise the security hardening for both protections and detections. Provides thought leadership on proactively incorporating deployment gates on security controls, and scanners for a set of complex products to prevent regressions and/or vulnerabilities that would have customer impact. Includes required security monitoring to ensure detection of violations. Drives collaboration with relevant security partners to define security promises and security invariants for the design of a product/solution while factoring in attacker/investigator personas for security monitoring and telemetry needs, ensure threat models and premortems validate upstream and downstream assumptions and security invariants, establish security breach drills and security incident response processes (e.g., impact analysis, containment), and ensure that artificial intelligence (AI) safety features are implemented for the AI production systems tied to a set of complex products.Drives collaborating with partner teams to ensure a set of complex products works well with the components of the partner team, ensuring proper end-to-end testing, live-site coverage, scalability, performance, and DRI escalation pathways are established before going live. Implement Leads efforts for experiments that determine the impact of changes using feature flags/flighting in their code, interprets results, and decides on next steps or ship decision from results. Drives identification of the correct metrics for experimentation in determining improving customer value. Drives collaboration efforts with internal partners (e.g., Data Science, product managers) to ensure incorporation of success and guard rail metrics for experimentation.Leverages their deep subject-matter expertise to partner with appropriate stakeholders (e.g., technical program managers) to lead multiple products' project plans, release plans, and work items. Breaks down long-term project vision into milestones. Guides other members for project estimation and escalates only the most critical issues. Owns efforts to ensure required security protections and detection processes are accounted for in planning. Drives efforts to ensure project plans adhere to security, privacy, and compliance requirements. Proactively drives efforts to ensure all code across multiple products/solutions is properly flighted for quicker mitigation of production incidents. Calculates capacity for planning, accounting for appropriate failover and backup/restore mechanisms for disaster recovery for a set of complex solutions. Drives making considerations for efficient operation of a set of complex products and/or solutions after it is live. Drives proactively establishing rollback plans for a set of complex products and/or solutions.Leads leveraging existing deployment frameworks in the implementation of solutions within the existing framework, driving the automation of deployment tasks where possible to ensure efficiency. Drives following safe change deployment best practices (including ensuring that flights are set correctly) for their team to minimize adverse impact to users and other services. Optimizes deployments across products and components to meet differing business objectives. Leads efforts to ensure that solutions are deployed safely, rolling out security-sensitive features only to applicable, relevant customers and scenarios to reduce the attack surface. Leads efforts to monitor dependency status and ensure that only the latest, secure versions are deployed. Leads efforts to define when rollback plans should be enacted for a set of complex products. Drives building deployment infrastructure to allow developers' private builds for a set of complex solutions to be tested in a production-like environment. Reliability and Supportability Acts as an expert in design and integration and signs-off on work of others across teams or multiple products on logging and telemetry in systems and products to provide feedback on system behavior such as performance, reliability, availability, usage, and implement safety mechanisms, and for allowing monitoring and investigating security-related concerns and scenarios for both live and A/B experiments for products, services, and offerings, resulting in iterative feedback loops resulting in subsequent designs. Ensures solutions are scalable, financially responsible, and meet capture/storage guidelines. Provides technical leadership in efforts to classify, and analyze complex data and analyses on a range of metrics (e.g., health of the system, where bugs might be occurring), and sets expectations for outputs (e.g., notifications, dashboards) that improve monitoring and investigating security-related concerns and scenarios, system monitoring and/or issue identification and mitigation. Proactively considers the privacy implications of telemetry code changes, and of adding new data points.Holds accountability as a designated responsible individual (DRI) and mentors other engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions. Alerts stakeholders as to status and initiates actions to restore system/product/service for complex issues. Develops a playbook for the team to resolve issues. Coordinates people and resources to ensure DRI responsibilities are covered across teams. Responds within service level agreement (SLA) timeframe. Has line of sight to incidences and plans to address emerging issues. Leads efforts to reduce incident volume, looking globally at incidences and providing broad resolutions. Escalates issues to appropriate owners.Leads efforts in the maintenance of live site service, following security best practices when responding quickly to mitigate issues while using the minimum required permissions to do so that arise on a rotational, on-call basis. Implements and helps others implement solutions and mitigations to complex issues impacting the performance or functionality of live site services. Reviews systematic issues and ensures solutions. Ensures playbooks are logical and understandable. Uses feedback from other solutions to inform preventative measures. Reviews and writes complex incident postmortem and presents insights that drive changes to reduce or eliminate incidents across teams. Drives improving troubleshooting guides (TSGs), wikis, tests, and telemetry to make on-call better, and defining user-facing support documentation and additional test coverage to reduce likelihood of future user-initiated incidents. Drives the enablement of secure operations, security monitoring, and integration with live site investigation activities. Leads efforts to identify opportunities (e.g., lunch talks, automation, practices, tools) that can be leveraged to improve the live site experience and execute on them. Understand User Requirements Partners with and guides appropriate internal (e.g., product manager, privacy/security subject matter expert, technical lead) and external (e.g. customer escalation team, public forums) stakeholders and leverages expertise to anticipate, determine, and confirm customer/user requirements and their feasibility for one or more complex scenarios. Proactively seeks and leverages a variety of feedback channels to incorporate customer insights into future designs or solution fixes. Leads incorporation of unwritten requirements, such as appropriate continuous feedback loops that measure actionable, quantitative (e.g., customer value, usage patterns, solution performance) and qualitative (e.g., accessibility, globalization) indicators of value. Determines additional critical metrics. Understands and leads providing feedback on, and advocating for the security and privacy needs of the customer who will be using the complex set of solutions. Qualifications Required/minimum qualifications - Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: - Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Additional or preferred qualifications - Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. - 10+ years of engineering and product development expertise, taking special pride in shipping delightful experiences that solve clear customer needs - 5+ years of technical leadership in defining and building developer experiences and scalable systems, preferably in the Generative AI, Machine Learning domain - Demonstrated proficiency around leveraging AI to build AI systems and a passion to make this technology accessible to everyone - Proven record of identifying challenges, making clear judgment calls on tradeoffs, and making systemic changes for lasting impact, while bringing value to customer quickly - Clarity in communication and ability to influence without authority when stakes are high Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Creature AI Programmer
We are looking for an experienced creature AI Programmer who will be responsible for supporting the development and implementation of creatures in our animation team. This position will create systems and features that enhance the work of our animators and will be a key interface with the wider programming team. You will deploy a variety of skills to bring these creatures to life and a strong understanding of animation, physics, AI and gameplay programming is essential. You should be willing to work at the Playdead office in Copenhagen, Denmark. What will I be doing? - Designing and developing new AI systems and features to aid creature setup, navigation and interaction between creatures and an open world environment. - Create custom scenarios in collaboration with the animation team - Develop debug tools to help our animators when needed - Engage with the wider programming team to ensure we develop sustainable, optimised and stable functionality. What we would like to see - Professional experience working with AI development, tooling and/or animation systems - Deep technical experience and competence working with C++ and Unreal engine - You have developed and released at least 1 AAA game - You have a collaborative spirit and work to solve problems as a member of the wider production team We are open minded about the technologies we deploy and always open to consider new options to solve emerging challenges. Who we are Playdead is an independent game developer based in Copenhagen, Denmark. We are the creators and publishers of LIMBO and INSIDE. Our current project is a 3rd person, open world, science fiction adventure built for multiple platforms on Unreal Engine, published by Epic Games Publishing. Our legacy and ambition is to make games with an uncompromising attention to detail. Our approach to development is experimental, iterative and collaborative. We are particularly interested in friendly, talented people who feel confident taking charge of their own schedule. We are currently more than 100 creative professionals and still looking to grow. Learn more about us at www.playdead.com
AI Automation Team Lead
AI Automation Team Lead at PLAYSTUDIOS Asia. Department: Engineering. Discipline: Engineering. Experience level: Lead. Employment type: Full Time. Location: Hanoi, Vietnam. Relevant tags: Engineering. Source: breezy. Apply at https://playstudios-asia.breezy.hr/p/31d7237a7c32-ai-automation-team-lead
AI Automation Engineer (Junior/Middle)
AI Automation Engineer (Junior/Middle) at PLAYSTUDIOS Asia. Department: Engineering. Discipline: Engineering. Experience level: Junior. Employment type: Full Time. Location: Hanoi, Vietnam. Relevant tags: Engineering. Source: breezy. Apply at https://playstudios-asia.breezy.hr/p/f6a526956975-ai-automation-engineer-junior-middle
[AI Frontier Div.] AI Native Full Stack Engineer (...
우리는 게이머의 로망을 실현하기 위해, 누구도 가지 않는 길을 갑니다. 예상을 뛰어넘는 과감한 상상력과 기술로, 전 세계 팬들이 잊지 못할 세상을 만들기 위해 담대하게 도전하고 개척합니다. We pioneer the path to players' dreams. With bold imagination and breakthrough technology, we create unforgettable worlds for fans across the globe. 우리 팀(프로젝트)을 소개합니다. AI Frontier 본부는 크래프톤의 핵심 AI 기술 역량을 실질적인 사업 성과로 연결하는 실행 중심 조직입니다. In-game AI, Production AI, LLM AI 등 6개 Squad가 각각의 사업을 빠르게 실험하고 스케일업합니다. 우리가 찾는 AI Native Engineer는 AI를 단순한 보조 도구가 아닌 핵심 개발 파트너 로 활용하면서, 동시에 대규모 트래픽 환경에서 서비스를 안정적으로 설계·운영한 경험 을 갖춘 시니어 엔지니어입니다. AI 기술이 빠르게 변화하는 만큼, 새로운 모델과 도구를 누구보다 빨리 습득하고 프로덕션에 적용하는 것도 중요하지만, 그 기술을 안정적이고 확장 가능한 서비스로 만들어 고객에게 전달하는 것 이 궁극적인 목표입니다 . 우리 팀과 함께할 미션을 소개합니다. - Squad(사업 실행 단위) 소속으로 PO와 함께 AI 기반 제품의 기획·개발·배포·운영 전 과정을 책임 - AI 모델을 활용한 서비스 기능 설계 및 구현 (프롬프트 설계, API 통합, RAG 파이프라인, MCP 연동, 에이전트 오케스트레이션 등) - 프론트엔드와 백엔드를 아우르는 End-to-End 서비스 개발 및 운영 - 모델 추론(Inference) 파이프라인 구축, 최적화 및 안정적 운영을 위한 모니터링 시스템 개발 - 대규모 트래픽 환경에서의 서비스 아키텍처 설계 및 성능 최적화 - 서비스 안정성을 위한 CI/CD 파이프라인, 데이터 파이프라인 설계 및 운영 이런 경험을 가진 분과 함께 성장하고 싶습니다! (필수요건) - 서비스 개발 역량 (핵심) - 7년 이상의 소프트웨어 개발 경력 또는 그에 준하는 실력을 보유한 분 - Backend(Node.js/Python/Kotlin/Go 중 하나 이상) 중심의 서비스 개발 경험. 서비스의 전체 흐름을 이해할 수 있는 분 - 기획부터 테스트, 배포, 서빙까지 하나의 흐름으로 책임질 수 있는 End-to-End 서비스 개발 경험 - RDBMS 및 NoSQL 데이터베이스에 대한 이해와 활용 능력 - 서비스 안정성과 확장성을 고려한 설계 및 운영 경험 - 서비스 운영 역량 - 실 서비스 운영 경험 — 대규모 트래픽 환경에서 서비스를 배포하고 안정적으로 운영한 경험 - 모니터링 및 장애 대응 — 모니터링 체계 구축부터 장애 발생 시 원인 분석·해결까지의 경험 (Datadog, Grafana 등) - CI/CD 및 인프라 운영 — 자동화된 배포 파이프라인 설계 및 운영 경험 - AI Native 개발 역량 - Claude Code, OpenAI Codex, Google Antigravity, Cursor 등 코딩 에이전트를 일상적 개발 도구로 활용 하며, 에이전트의 강점과 한계를 이해하고 있는 분 - Context & Harness Engineering 경험 — CLAUDE.md, AGENTS.md, Rules 등 프로젝트 컨텍스트 설계를 통해 에이전트의 출력 품질을 체계적으로 관리하고, 도구 권한 설계·안전 제약 조건·검증 루프 등 에이전트의 런타임 제어 체계를 구축해본 분 - 플러그인, 스킬 시스템, MCP(Model Context Protocol) 등 에이전트 도구 생태계에 대한 이해 및 커스텀 도구/플러그인 개발 경험 - 멀티 에이전트 시스템 설계 또는 에이전트 오케스트레이션 경험이 있으면 더욱 좋습니다 - 문제 해결 및 협업 - 문제 정의부터 솔루션 구현까지 독립적으로 수행 가능한 역량 - 기술적 의사결정을 문서화하고 팀에 공유하는 습관 - 비개발 직군과의 원활한 협업이 가능한 커뮤니케이션 역량 - 빠르게 변화하는 AI 기술 트렌드에 대한 높은 학습 의지와 적응력 - 해외 출장에 결격 사유가 없는 분 이런 경험들이 있다면 저희가 찾는 그 분입니다! (우대요건) - 클라우드 환경(AWS, GCP, Azure) 활용 및 프로덕션 수준의 아키텍처 설계 경험. Kubernetes(k8s), Docker 등 컨테이너 기반 배포 및 IaC(Infrastructure as Code) 경험 포함 - GPU 기반 모델 서빙 인프라 구축 경험 (vLLM, Triton 등) 또는 오픈소스 모델을 활용한 서비스 기능 구현 경험 - 실제 유저들이 사용하는 AI 서비스 운영 경험 (DAU 10만 이상 또는 이에 준하는 규모) - 게임 또는 콘텐츠 및 사용자 중심 서비스에 대한 도메인 이해 또는 새로운 도메인을 빠르게 학습할 수 있는 역량 - Frontend(React, TypeScript 등) 개발 경험을 함께 보유한 풀스택 역량 - 테크 리드 또는 소규모 팀 리딩 경험 - 이런 분이면 더 좋습니다. - AI 도구를 활용해 혼자서 하나의 서비스를 처음부터 끝까지 만들어본 경험이 있는 분 - 프롬프트 한 줄이 아니라, 에이전트가 동작하는 환경 전체를 설계 하는 관점을 가진 분 - '이 기술이 사업에 어떤 가치를 만드는가'를 항상 고민하는 분 - 서비스 장애를 겪어봤고, 그 경험에서 시스템을 더 견고하게 만든 경험 이 있는 분 - 새로운 AI 모델이 나오면 바로 써보고, 프로덕션에 적용할 방법을 찾는 분 - 코드뿐 아니라 아키텍처, 실험 결과, 의사결정 과정을 문서로 남기는 습관이 있는 분 - 성능 병목을 찾고 해결하는 것에 즐거움을 느끼는 분 크래프톤의 도전에 함께 하기 위해 아래의 전형 과정이 필요합니다. - 서류 전형 > *과제 전형 > 인성검사 (Personality Assessment) > 직무면접 (Technical Fit Interview) > 종합면접 (2-3회) (Culture Fit Interview) > 합격 및 입사 - *해당 절차는 각 포지션 및 후보자에 따라 변동이 있을 수 있습니다. - 상시 채용으로 채용 완료 시 조기 마감될 수 있습니다. - 필요 시, 인터뷰 및 직무 테스트가 추가될 수 있습니다. - 전형 일정 및 합격 또는 불합격 결과는 지원서에 등록하신 이메일 또는 유선으로 개별 안내 드립니다. 필요 서류를 확인해주세요! - 입사지원서 (자유 양식), 자기소개서, 경력기술서, 포트폴리오(필수) - 신입일 경우 자기소개서를, 경력일 경우 경력기술서를 중심으로 기술해 주시기 바랍니다. - 포트폴리오 첨부 시, 하단 안내 사항을 확인해 주시기 바랍니다. 근무지 - 역삼 센터필드 고용형태 - 전문계약직 아래 안내 사항을 확인해주세요! - 장애인 및 국가 유공자 등 취업 보호 대상자는 관계 법령에 따라 우대합니다. - 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. - 5개월의 수습기간을 적용합니다. 회사는 수습기간에 대한 평가 결과에 따라 본채용을 거부할 수 있으며, 수습기간 중이라도 중간평가 결과에 따라 수습기간을 조기 종료하고 본채용을 거부할 수 있습니다. 수습기간 내 고용형태 및 급여 조정은 없습니다. - 채용 전형 중 궁금하신 사항은 크래프톤 채용 FAQ 내에서 확인하실 수 있습니다. BE BOLD, LEARN AND WIN! 크래프톤의 성장과 도전의 스토리를 알아가고 싶다면? - 크래프톤 제작 스튜디오 - 크래프톤 게임 - 크래프톤 비전 & 핵심가치 - 크래프톤 라이프 & 복리후생 - 크래프톤 공식 유튜브 채널 - 배틀그라운드 공식 유튜브 채널 - 크래프톤 인스타그램 - 크래프톤 블로그 Please check the information below - Those eligible for an affirmative action program such as individuals with disabilities or with distinguished service to the state will be given hiring preference according to relevant laws - False statements in your resume may lead to the withdrawal of the employment offer - A 5-month probationary period applies. Based on the mid-term evaluation, employment may be terminated early or not continued. No changes in employment type or salary during this period. - Please contact career@krafton.com for other inquiries BE BOLD, LEARN AND WIN! Would you like to explore KRAFTON’s growth and adventure stories? - KRAFTON Production Studios - KRAFTON Games - KRAFTON Vision and Core Values - KRAFTON Life & Welfare Benefits - KRAFTON Youtube Channel - BATTLEGROUNDS Youtube Channel - KRAFTON Instagram - KRAFTON Blog
LLM Solutions Architect
ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. ABOUT YOU You are an AI practitioner who builds things, not slides — and shapes strategy, not just tickets. You live at the intersection of product thinking and technical architecture, and you thrive there, because that is the only place where AI actually changes how a product works. You have shipped LLM-powered systems into production and have the scars to prove it. You think in agents, not features. You stay at the frontier: when a new model or paradigm lands, you have already tried it and formed an opinion. And when you propose something, you can build a working proof of it. THE ROLE WHAT YOU'LL DO WHAT YOU'LL NEED Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
Principal Software Engineer, AI Enablement - Centr...
Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. We work with both new and current technology, creating innovative solutions to solve complex, large-scale challenges and deliver player value. As a Principal Software Engineer, you’ll lead the development of key features and model high standards of engineering excellence. As a Principal Software Engineer on Riot’s AI Enablement team, you are a technical force multiplier. You will embed directly with any team at Riot to accelerate their adoption of modern AI development (e.g., generative AI, LLMs, reinforcement learning). Operating as part of an elite, highly mobile strike team, you will build production-ready AI integrations, develop robust developer tools, and level up partner engineers through side-by-side collaboration. Once a team is empowered and systems are successfully handed off, you will deploy to the next challenge. You will be at the forefront of cutting-edge AI in the game industry, bridging the gap between new technologies and live environments to shape how Riot develops products and games. You will be accountable to Riot’s Head of AI Product. Responsibilities: - Implement and Integrate: Lead the technical execution of integrating modern AI practices into existing engines, tools, and pipelines. - Embed and Accelerate: Deploy onto partner teams across Riot to break down complex AI implementation problems, establish technical direction, and deliver scalable, highly performant solutions. - Mentorship and Handoff: Train and coach embedded team engineers through pair programming, technical reviews, and hands-on collaboration. Ensure a seamless transition of code ownership before deploying to your next assignment. - Evangelize Best Practices: Share engineering best practices, security guardrails, and performance standards for AI usage across Riot’s development ecosystem. - Build Foundations: Identify when industry-standard tools are insufficient and develop new foundations, middleware, or APIs to connect AI research with practical development. - Manage Ambiguity: Actively navigate highly complex, uncharted technical spaces, communicating trade-offs and building consensus among engineering and product leadership. Required Qualifications: - BS in Computer Science (or equivalent experience) with 8-12 years of software engineering experience. - Extensive experience with systems integration, technical leadership, and early-stage software development. - Deep programming proficiency in C++ and at least one other language (e.g., Python, C#). - Shipped at least one AAA game or large-scale, high-concurrency live service product. - Proven track record of managing high ambiguity, setting technical strategy, and leading multi-month/year initiatives. - Practical experience utilizing, integrating, or building modern AI tools, APIs, or infrastructure. Desired Qualifications: - Experience extending or developing within Unreal Engine (C++). - Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) or LLM orchestration. - Background working on shared engine technology, central tools, or platform engineering teams. - Familiarity with the Runeterra and VALORANT IPs. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: - Safeguarding confidential and sensitive Company data - Communication with others, including Rioters and third parties such as vendors, and/or players, including minors - Accessing Company assets, secure digital systems, and networks - Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
AI Creative Director
AI Creative Director at PLAYSTUDIOS Asia. Department: Creative. Discipline: Art & Animation. Experience level: Manager. Employment type: Full Time. Location: Hanoi, Vietnam. Relevant tags: Art & Animation, Creative. Source: breezy. Apply at https://playstudios-asia.breezy.hr/p/8b530466562b-ai-creative-director
AI Technical Intern
AI Technical Intern Tamatem · Amman, Jordan · Part-time · Posted 2026-05-07 Workplace: onsite Department: Graphic Design Description About the Role We're looking for AI Technical Interns to join a newly formed team working on AI agents, automation, and AI-powered workflows. This isn’t a typical internship. It’s a front-row seat to the AI revolution. You’ll be right in it: building, experimenting, and shipping real-world AI applications and agents at high speed. We’re looking for people who see AI not just as a tool, but as a playground. If you’re the kind of person who gets excited about a new model drop and stays up late just to see what it can do, we want to give you the resources and the stage to push those limits in a professional environment. What You'll Do - Developing AI agents and automated workflows - Building and integrating solutions using AI APIs and services - Working with open source AI models and tools - Developing web-based interfaces (frontend and backend) - Deploying and maintaining live applications with proper access control - Collaborating with cross-functional teams to deliver production-ready solutions What You'll Need Programming & Development - Proficient in Node.js (core) and Python (functional) - Frontend web development (HTML, CSS, JavaScript) - Backend development and server deployment - hosting, authentication, logging - Comfortable with Git and GitHub: version control, working with open-source repos and libraries - API integration and working with third-party services AI & Agentic Tools - Proficient with agentic coding tools (Claude Code, OpenAI Codex, Google Antigravity, or similar) to orchestrate complex development tasks, automate testing, and manage multi-file refactors - Strong prompt engineering instincts - prompt structuring, system instructions, and getting reliable, structured outputs from LLMs - Hands-on experience with n8n or similar workflow automation platforms - Working knowledge of AI APIs across modalities (LLMs, image, voice, video) Mindset - Self-directed and curious - you don't wait for someone to tell you what model to try next - Comfortable shipping fast, iterating in public, and getting feedback from non technical users - Ability to communicate technical concepts to artists and creative team members Nice to Have - Any background in creative or visual disciplines (graphic design, animation, multimedia, motion graphics, sound design) - Experience with AI image and video generation models and services (Nano Banana Pro, Kling, Veo, Sora, Minimax, Runway, ElevenLabs, and similar) - Experience with ComfyUI - setting up, configuring, and running open source models (Flux, Wan, and similar), building and customizing workflows - Basic UI/UX awareness - ability to build interfaces that are clean and usable Why This Internship is Different - You'll ship tools that are used in production by a team of 30+ creatives across six live games - You'll work on the bleeding edge - AI agents, automation, and pipelines that don't exist anywhere else in the MENA games industry - You'll have a public stage to show your work at our quarterly AI Demo Day, with recognition. - You'll build a portfolio of real, deployed AI applications not just experiments Requirements - Any background in creative or visual disciplines (graphic design, animation, multimedia, motion graphics, sound design) - Experience with AI image and video generation models and services (Nano Banana Pro, Kling, Veo, Sora, Minimax, Runway, ElevenLabs, and similar) - Experience with ComfyUI - setting up, configuring, and running open source models (Flux, Wan, and similar), building and customizing workflows - Basic UI/UX awareness - ability to build interfaces that are clean and usable Apply Apply at Tamatem --- Powered by Workable
Senior AI Applied Engineer (Contract Based)
As an AI Applied Engineer, you will play a key role in maintaining and enhancing our existing AI and automation tools, developing new AI-driven solutions to boost efficiency, and collaborating closely with the game development team to bring innovative AI applications into our games. Job Description - Design and build scalable, modular, and production-grade AI architectures, including resilient orchestration layers, failover mechanisms, circuit breakers, and reusable AI services. - Develop and implement automated AI evaluation frameworks (e.g., LLM-as-a-judge, RAGAS, G-Eval, or custom metrics) to measure system quality, accuracy, relevance, and hallucination rates through data-driven KPIs. - Architect and optimize AI-powered systems capable of handling high concurrency, large-scale traffic, and terabyte-scale datasets with low-latency performance. - Drive AI cost optimization initiatives through engineering-led solutions such as semantic caching, intelligent model routing, prompt optimization, and token efficiency strategies. - Build and maintain robust AI data pipelines for large-scale ingestion, cleaning, embedding, vectorization, and efficient retrieval to ensure high-quality and up-to-date AI outputs. - Audit, improve, and productionize existing AI systems by identifying bottlenecks, improving scalability and reliability, and reducing hallucinations through continuous refinement and experimentation. - Implement enterprise-grade observability, monitoring, logging, and tracing systems to track AI performance, reliability, and cost efficiency in real time. - Write clean, maintainable, and scalable asynchronous Python code while applying strong software engineering principles, system design best practices, and design patterns. Job Requirements - Minimum 6+ years of experience in Software Engineering, with strong expertise in System Design and Distributed Systems, including 3+ years of hands-on experience building, deploying, and scaling LLM-based applications (RAG, AI Agents, Tool Use) in production environments. - Proven experience designing automated evaluation and monitoring pipelines to ensure AI system quality, reliability, and measurable performance. - Strong capability in optimizing LLM architecture for scalability and cost efficiency beyond prompt engineering approaches. - Hands-on expertise with modern AI and backend technology stacks, including Python (AsyncIO, FastAPI), Message Brokers (Kafka, RabbitMQ), Caching (Redis), Vector Databases (Pinecone, Milvus, Weaviate), Kubernetes, Docker, and CI/CD pipelines for AI workloads. - Strong problem-solving and project management skills, with the ability to translate ambiguous business challenges into scalable, production-ready technical solutions for high-concurrency and large-scale systems. - Demonstrated leadership experience in establishing engineering SOPs, technical standards, workflows, and mentoring or building teams with varying technical maturity levels. - Excellent communication and stakeholder management skills in both Bahasa Indonesia and English, with the ability to collaborate effectively across technical and non-technical teams. - Passionate about games and the gaming industry, with strong curiosity toward gaming products, player behavior, and industry best practices in Indonesia. - Willing to work under a 6-month contract with a full Work From Office (WFO) arrangement at our South Jakarta office.
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