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National Security Lead, APAC
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 We are looking for an experienced National Security practitioner to guide our strategic engagements with Asia-Pacific national security and intelligence communities. Working closely with the national security team based in the US and the APAC policy team, this senior role will help to shape Anthropic's approach to national security policy and partnerships in APAC during a critical period in AI development and governance. You will be the day to day point of contact with national security partners in the Asia-Pacific, translating technological developments for national security audiences and building mutually beneficial collaborations.. You will also work closely with our APAC public sector sales team to support public sector deployment of Claude in high-leverage use cases that strengthen national security, enhance government efficiency, and accelerate allied competitiveness to promote regional peace and security. This role is based in Australia. This job will also require travel across the Asia-Pacific region and to the United States. In this role you will: - Lead policy engagement with APAC national security partners on issues related to government use and national security implications of frontier models - Engage key NatSec policy stakeholders (e.g., via briefings, consultations, demos, roundtables), in coordination with the wider national security and APAC policy teams. - Partner with the APAC public sector sales team to support commercial efforts involving government agency deployments - Support and promote public-private research collaborations - Build a coalition of government agencies, nonprofits, safety institutes, think tanks and academics to in APAC to share knowledge around national security issues and ensure the safe and responsible adoption of frontier AI - Collaborate with technical teams to translate Anthropic threat model research into concrete policy proposals, stakeholder education, and thought leadership opportunities You may be a good fit if you: - Have 10+ years of experience working in national security agencies, or a combination of government and related private sector experience - Are high-agency, able to develop and execute strategy independently, taking account of dependencies with other cross-functional teams within Anthropic (including but not limited to policy, go-to-market, trust and safety, legal, product, research, comms, and marketing) - Possess strong written and verbal communication skills, particularly when briefing policymakers and government officials - Have demonstrated interest and experience in a complicated technical subject (ideally, AI, but other examples could be quantum computing, cryptography, fusion power, etc.) - Have had some legal training in or exposure to contract negotiation - Are willing/able to participate in a process to obtain/retain a security clearance in Australia 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
Customer Program Manager, Executive Briefings
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 Anthropic's Executive Briefing program brings senior leaders from our most strategic customers together with our spokespeople, product leaders, and researchers. As a Program Manager, Executive Briefings, you will run the program at one of our briefing centers and help build the global operating model that ensures an exceptional and consistent experience across the globe. You will be the main program lead for your location and own briefings end to end: qualification and intake, agenda design, speaker selection, and day-of execution. You will set the objectives and design for each agenda and develop it jointly with Sales. You will also be the local account teams' go-to partner on how to use a briefing to move their most important opportunities forward. You will manage the global workstream and set the standard every center follows, so customers get the same quality of briefing wherever they meet us. This is a highly cross-functional role. You will work with regional GTM leadership and the Office of the CCO on account selection and program strategy, with Product Marketing on content, with Solutions on technical deep-dives and demos, with Anthropic's executive bench on sponsorship and participation, and with Workplace, Security, and Revenue Operations on the experience and systems behind every briefing. You will be comfortable running every part of a briefing yourself and maintaining tight alignment with internal stakeholders. Key responsibilities - Own the Executive Briefing program at your location: the local calendar, capacity planning, the request and intake process from Sales, and operating SLAs, applied against global criteria and regional allocation - Work with regional GTM leadership to decide which strategic accounts receive a briefing each quarter, hold the qualification bar, and proactively surface accounts that should be engaged - Lead discovery with account teams before each briefing to understand the customer's objectives, business context, and stage of evaluation, and turn that into a tailored agenda - Own agenda design and co-own agenda development with Sales for every briefing, including the narrative arc, discussion topics, speakers, and demos - Build and manage the speaker bench for your location: identify, source, and match speakers to briefings, run prep, and manage capacity so no one is over-asked - Own day-of orchestration and the customer experience standard at your center, in partnership with Workplace on logistics - Contribute to the playbooks, tooling, and best practices that let the program scale consistently across centers while allowing for regional nuance - Share intake and triage on a rotation across time zones so every request gets a decision within the defined SLA - Maintain one source of truth for criteria, lead times, and process so account teams get one answer - Own measurement and reporting for your center and contribute to global reporting on briefing volume, capacity and allocation, strategic-account coverage, and program-influenced pipeline and expansion - Onboard and coach briefing team members and contractors across locations Minimum qualifications - Experience running executive briefings, customer events, or a comparable program for senior external audiences - Program management skills, including intake and prioritization, capacity planning, and managing multiple concurrent programs against SLAs - Experience designing agendas and facilitating discussions with C-level or other senior customer audiences - Experience building processes, playbooks, or tooling that help a program operate consistently - Ability to track, report on, and communicate program metrics such as volume, coverage, and pipeline influence - Strong written and verbal communication skills, with the ability to partner credibly with field leadership, executives, and internal subject matter experts - Work on site at your briefing center when briefings take place Preferred qualifications - 5+ years of experience building or scaling an executive briefing program, or a similar customer-facing program, at an enterprise technology company - Experience in a high-volume briefing environment - Experience with CRM and reporting tools such as Salesforce, and with connecting program activity to pipeline and expansion outcomes - Experience identifying and surfacing speakers for the speaker bench and managing speaker capacity across product, research, and executive teams - Experience working across time zones or across multiple sites to set one global standard - Experience onboarding or coaching new team members or contractors - Familiarity with AI products and how enterprises evaluate and adopt them - Interest in Anthropic's mission to build AI that is safe and beneficial 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: £1 - £1 GBP 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
Research Engineer, Cybersecurity RL
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 Horizons The Horizons team leads Anthropic's reinforcement learning (RL) research and development, playing a critical role in advancing our AI systems. We've contributed to every Claude release, with significant impact on the autonomy, coding, and reasoning capabilities of Anthropic's models. About the role We're hiring for the Cybersecurity RL team within Horizons. As a Research Engineer, you'll help to safely advance the capabilities of our models in secure coding, vulnerability remediation, and other areas of defensive cybersecurity. This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic. The role requires domain expertise in cybersecurity paired with interest or experience in training safe AI models. For example, you might be a white hat hacker who's curious about how LLMs could augment or transform your work, a security engineer interested in how AI could help harden systems at scale, or a detection and response professional wondering how models could enhance defensive workflows. You may be a good fit if you: - Have experience in cybersecurity research. - Have experience with machine learning. - Have strong software engineering skills. - Can balance research exploration with engineering implementation. - Are passionate about AI's potential and committed to developing safe and beneficial systems. Strong candidates may also have: - Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work. - Experience participating in or building CTF competitions and cyber ranges. - Academic research experience in cybersecurity. - Familiarity with RL techniques and environments. - Familiarity with LLM training methodologies. 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: $500,000 - $850,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
Working Student* Business Intelligence / AI
Working Student* Business Intelligence / AI at Gameforge AG. German games industry role. Company category: Developer & Publisher. Job category: Business Intelligence / Data. Job type: Working Student. Added: 07.11.2026.
Senior Software Development Engineer in Test, ML
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. At PlayStation, we're passionate about both partnership and technology. We care about building performant products and powerful tools, solving practical problems in delightful ways. We love building the systems that millions of people use, and we're always our own first customers and critics. We strive to be at the forefront of development technologies and celebrate our diversity with engineering teams located on four continents from all walks of life. We build our teams to be places where every voice is heard, all input is valued, and our members have the creative freedom to make their ideas real. Sr Software Development Engineer in Test , ML Locations: Madison, WI and Waterloo, Ontario Canada P layStation is seeking a Sr Software Development Engineer in Test, ML to join our Madison team and lead quality efforts for machine learning-powered products and services. You will partner closely with ML engineers, software engineers, product managers, and data partners to build scalable test automation and validation approaches for systems serving PlayStation at global scale. This role is focused on building confidence in model reliability, production readiness, and behavioral consistency. Unlike traditional software backend testing, success here requires validating probabilistic systems through score distributions, cohort-level behavior, thresholds, and statistical signals, not just deterministic pass/fail assertions. Responsibilities: - Drive architecture-level automation solutions and scalable quality engineering practices across multiple teams and product areas. - Design, develop, and maintain automated test frameworks, test scripts for ML inference services and related ML platform components using python/Java - Build and automate realistic, representative test account creations and datasets to evaluate model behavior across different scenarios - Validate score distributions, ranking behavior, output quality, and other model signals for incoming ML models prior to release - Perform different types of testing, including functional, integration, regression and API testing working with RESTful APIs, microservices and databases, and non-functional performance and load testing to verify inference service scalability, latency requirements and reliability under production like conditions - Work closely with ML engineers and ops teams to ensure that all features and bug fixes come with automated test coverage, ensuring continuous integration and deployment - Debug and analyze test failures, model anomalies and report defects - Drive high standards of quality for both engineering decisions and customer-facing features with optimal test and automation strategy - Develop and implement best practices for test automation that is highly scalable and maintainable - Monitor test execution and optimize performance in test environments - Come up with innovative solutions to organizational problems Required Qualifications: - A Bachelor's degree in Computer Science or related field - Minimum 5 years of experience as an SDET, with strong experience testing backend systems. - Proficiency in Python/Java/Scala/go for test automation. - Hands-on experience with API testing tools (e.g., Postman or similar) for distributed systems - Familiarity with CI/CD pipelines and test execution in Jenkins or similar environments such as jenkins, GitHub Actions, ArgoCD, etc - Hands-on experience building and maintaining automated test frameworks (e.g., pytest, JUnit, TestNG, etc.)Experience in working with databases for backend validation. - Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker, etc.) - Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, etc.) for validating service health - Strong understanding of software development lifecycle (SDLC) and agile methodologies. - Excellent problem-solving skills and excellent communication skills. Preferred Qualifications: - Experience testing machine learning systems, such as recommendation systems, search ranking systems, or other probabilistic ML application systems. - Experience creating synthetic or seeded test data to simulate realistic customer/account behaviors. - Experience evaluating model outputs using statistical techniques, distribution analysis, or scenario-based validation, rather than deterministic assertions. - Knowledge of data pipelines, feature stores, inference systems or model-serving infrastructure (Seldon, KServe, Ray Serve, etc.) is a plus. - Experience with performance and load testing tools - Experience with Databricks or similar ML platform tooling - Experience architecting and optimizing CI/CD pipelines, quality gates, and release validation systems using Jenkins or similar platforms. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $152,000 - $190,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Senior Software Engineer AI (Contractor)
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Agentic & AI Engineering - - Design, build, and operate production-quality agentic applications using agentic SDKs/harnesses — including multi-agent orchestration, subagent delegation, tool integration, and lifecycle hooks. - Design Model Context Protocol (MCP) tool and resource interfaces that give coding agents/harnesses safe, reliable access to backend systems and enterprise data. - Engineer prompts for reliable structured output (JSON schemas, few-shot examples, validation/retry loops) and build evaluation frameworks to measure and improve output quality. - Manage context effectively across long documents, multi-turn conversations, and multi-agent handoffs; design escalation and human-in-the-loop patterns for production reliability. Developer Productivity - - Configure and extend Codex/Claude Code for team-wide use: AGENTS.md/CLAUDE.md hierarchies, custom slash commands, Agent Skills, path-specific rules, and plan mode. - Integrate agentic development into CI/CD pipelines for automated code review, test generation, and PR feedback, tuned to minimize false positives and duplicate findings. - Build and maintain MCP server integrations (project- and user-scoped) that extend agent-native development capabilities across engineering workflows. - Identify high-value opportunities for AI-assisted development and design reusable capabilities that multiple teams can adopt, not just one-off solutions. Discovery, Prototyping & Production Delivery - - Partner directly with engineering teams to understand workflows, pain points, and opportunities through hands-on discovery. - Rapidly prototype and validate new AI capabilities with real users, then take successful prototypes into secure, observable, maintainable production systems. - Own the full lifecycle: implementation, testing, deployment, monitoring, and iteration. Technical Leadership - - Provide hands-on technical leadership through architecture discussions, code reviews, and troubleshooting of agentic systems. - Mentor engineers on agentic design patterns, prompt engineering, and agent-native development practices. - Communicate tradeoffs, risks, and results clearly to both technical and non-technical stakeholders. - Contribute to engineering standards, reusable patterns, and documentation that help other teams build effectively with agentic development tools. Requirements - - 6+ years of professional software engineering experience, including significant hands-on work building and operating AI/LLM-powered or agentic applications. - Strong programming skills (Java, Python, Go, Rust, or C++) and solid engineering fundamentals — API design, testing, debugging, code review, maintainable code. - Practical, production-grade experience with agentic SDKs/harnesses, MCP, and LLMs — tool use, orchestration, RAG, context management, structured output, and evaluation. - Experience designing MCP tool/resource interfaces and reasoning about tool selection, error handling, and reliability in multi-agent systems. - Demonstrated experience integrating AI into CI/CD and developer workflows. - Ability to work in ambiguous problem spaces, evaluate tradeoffs, and make pragmatic engineering decisions. - Strong written and verbal communication skills, with experience mentoring and leading through influence. - Build and maintain an engineering knowledge base for agentic workflows, including content ingestion, organization, updates, and retrieval. Connect it to agents through RAG and MCP so they can use trusted, current information with source citations. Preferred Qualifications - - Demonstrated expertise across agentic architecture, MCP integration, Codex/Claude Code configuration, prompt engineering, and context management. - Experience building multi-agent research or customer support systems, or structured data extraction pipelines. - Experience with AWS, Docker, Kubernetes, Terraform, and GitOps in support of AI/agentic infrastructure. - Familiarity with vector databases, embeddings, and AI evaluation frameworks. - Contributions to open-source projects involving AI, agentic systems, or developer tooling. - Strong systems thinking — understands how models, agents, tools, context, APIs, data, and infrastructure fit together as production systems, and can reason about dependencies and tradeoffs across the stack. - A track record of adapting quickly to new AI tools, models, and frameworks as the space evolves. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Senior Data Scientist
The opportunity Aura from Unity, a large-scale mobile platform, is seeking a highly skilled Senior Data Scientist to join our dynamic AI team. The ideal candidate blends a strong foundation in machine learning, statistics, and software engineering with a passion for modern, AI-accelerated development. You will be responsible for leading the research, design, and end-to-end development of cutting-edge machine learning systems at scale. What you'll be doing Innovate at Scale: Design and deploy advanced ML solutions by leveraging our vast, large-scale datasets. Build & Scale: Develop online, scalable models and tools using machine learning, deep learning, NLP, and modern LLM frameworks. End-to-End Ownership: Drive projects through their entire lifecycle—from translating complex business questions into technical strategies, all the way to robust production deployment. Production Excellence: Champion high engineering standards by building, monitoring, and optimizing resilient production workflows. Cross-Functional Collaboration: Work closely alongside data scientists, ML engineers, product managers, analysts, and developers to solve complex, multi-faceted problems. What we're looking for Education: MSc or PhD in Data Science, Computer Science, Mathematics, Statistics, or a related engineering field. Experience: 4+ years of proven experience as a Data Scientist solving complex business problems with state-of-the-art algorithms. Deep Learning: Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras). Engineering & Production: High-level software engineering expertise, with a strong track record of deploying, maintaining, and scaling models in rigorous production environments. Strong analytical thinking: Take a vague business question, translate it into a testable hypothesis, build the infrastructure to run an experiment, and draw rigorous conclusions from the results. Massive Scale: Experience working with billions of records and big-data frameworks (e.g., Spark, Ray, Dask, Airflow). Domain Expertise: Proven experience building and optimizing applied recommendation systems. AI development: Fluency with modern AI coding tools and practices (e.g. Cursor, Claude Code, Copilot) and an eagerness to integrate them into your daily workflow Leadership & Soft Skills: Demonstrated experience leading machine learning projects. You are a highly analytical team player capable of handling multiple tasks simultaneously in a fast-paced environment. You might also have LLM & Agentic Frameworks: Experience building applications with modern AI tools and frameworks (e.g., LangChain, LangGraph). AI Observability: Hands-on experience with LLM observability, evaluation, and tracing frameworks (e.g., Langfuse). MLOps & Infra: Experience working with MLOps tools (e.g., MLflow, Kubeflow, Weights & Biases, SageMaker) and feature stores (e.g., Feast, Tecton). Additional information Relocation support is not available for this position Work visa/immigration sponsorship is not available for this position This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com . Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
Data Scientist, FX Quantitative Research
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Data Science at Stripe is a vibrant community where data scientists and data analysts learn and grow together. The Treasury Finance Data Science team builds the models, risk frameworks, and decision tools behind how Stripe manages money at global scale: liquidity, funding, counterparty risk, and foreign exchange. Stripe moves funds across 135+ currencies every day. That creates FX exposure from merchant flows, multi-currency balances, and entity funding. In this role, you'll be a thought partner and builder alongside Stripe's FX team. Together you'll develop the quantitative foundation for how Stripe measures, forecasts, and hedges FX exposure. What you'll do You'll be the senior quantitative lead for FX within Treasury Finance Data Science. You'll co-build with Treasury, the FX hedging team, Finance, and Engineering: shaping the research agenda, turning ideas into rigorous models, and building the systems that put those models to work. Data Science owns these systems. They produce the decision-critical outputs and analyses that the FX team and Treasury leadership rely on. This is a hands-on role. You'll design the methodology, write the code, and ship it into production. Responsibilities - Partner with the FX team to build and evolve FX risk measurement: exposure aggregation across entities and currencies, VaR / Expected Shortfall, stress testing, and scenario analysis - Develop forecasting models for FX exposures and multi-currency cash flows. Quantify forecast uncertainty so it can inform hedge sizing and timing. - Co-design hedge optimization and decision frameworks with the FX team that weigh hedge cost, residual risk, P&L volatility, and liquidity constraints - Build ML and statistical systems for trading and risk (signal research, anomaly detection on flows, execution and cost analytics), and take them from prototype to production - Own the production systems that generate decision-critical FX outputs, partnering with Engineering on reliability, SLAs, monitoring, alerting, and incident response for risk-critical workflows - Partner deeply with Treasury Finance stakeholders to turn business questions into quantitative frameworks. Anticipate needs and help shape FX risk strategy rather than reacting to requests. - Produce clear, trusted analyses and reporting that inform Treasury and Finance leadership decisions, including leadership-level reporting such as MBRs and QBRs - Use AI tools (code assistants, LLM-based agents) to speed up modeling, analysis, and automation, while maintaining rigor, validation, and auditability - Raise the technical bar for FX quantitative work within Data Science: methodology standards, model validation, documentation, and mentoring other data scientists Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Location Requirement - New York, NY required (50% in office - hybrid) Minimum requirements - PhD with 1-3 years, MS or MA with 2-6 years, or BS or BA with 4-8 years of data science or quantitative modeling experience - Hands-on quantitative experience at a bank, asset manager, hedge fund, trading firm, or similar financial institution, with direct exposure to FX, rates, or market risk - Strong foundation in statistics, probability, and time-series modeling, plus working knowledge of risk measures (VaR, Expected Shortfall, stress testing) and hedging instruments (forwards, swaps, options) - Proficiency in Python and SQL. You write production-quality code, not just research scripts. - Experience taking models or analytical systems from research into production - Business acumen and the ability to turn complex analyses into clear, decision-ready insights - Ability to clearly communicate results and drive impact with cross-functional partners, including senior non-technical stakeholders - Ability to manage multiple projects at once, with strong attention to detail - Experience using AI tools to speed up modeling, analysis, and coding Preferred qualifications - Degree in a quantitative field (e.g., Quantitative / Mathematical Finance, Financial Engineering, Statistics, Mathematics, Physics, Computer Science, Economics, Operations Research) - Applied machine learning experience in trading or risk (e.g., forecasting, execution analytics, signal research, anomaly detection) - Experience with corporate treasury or balance-sheet FX: multi-entity exposure management, hedge programs, and treasury concepts such as liquidity, funding, and cash positioning - Experience building risk or decision systems with engineering standards: code review, testing, monitoring, and defined SLAs - Experience with distributed data tools (e.g., Spark) and workflow orchestration (e.g., Airflow, Flyte) - Prior experience at a growth-stage internet, fintech, or payments company - Experience creating leadership-level reporting, such as QBRs and MBRs - A builder's mindset, with a willingness to question assumptions and conventional wisdom - Interest in how data products enable automated and agentic workflows, and an understanding that model and data quality determine the reliability of every downstream decision
Senior Product Designer, Knowledge Graph | United...
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Senior Product Designer, Knowledge Graph This is a remote position based in the United Kingdom. The Opportunity: As a Senior Product Designer at Grafana Labs, you will join a growing Product Design organization of more than 25 designers, researchers, engineers, and design leaders distributed across six continents. You will work within a 100% remote R&D organization, so strong, proactive remote communication, collaboration, facilitation, and relationship building skills will be essential to your success. As Senior Product Designer for Grafana Cloud’s Knowledge Graph , you'll design experiences for the context layer of Grafana Cloud that powers our entity graph, entity catalog and RCA workbench. Knowledge Graph automatically discovers services, infrastructure, and databases from the telemetry teams already have, maps how they depend on each other, and runs anomaly detection. This gives engineers, SREs, and their agents an up to date picture of their systems. We want anyone to be able to understand a system and resolve an incident faster, without writing queries or maintaining alert rules, not just the one person who happens to know it best. Over time, you will develop deep expertise in your product area and associated customer and user personas, use cases, and workflows, which will enable you to design tailored, role-driven experiences. You will also have an opportunity to contribute to the evolution of the Product Design team at Grafana by coaching and mentoring other designers, collaborating on team internal initiatives, and helping evolve new ways of working, learning, and having fun together as the team scales. What You’ll Be Doing: - Enabling customers to easily understand and explore how their systems connect to each other. Find clear, simple ways to show complex, constantly-changing information without overwhelming the user - Translate research and data to experiences that are easy to digest and break down complexity - Tailor the experience to different target audiences, covering multiple user perspectives - Work cross-functionally with peers and leaders in engineering, product management, technical writing, and GTM functions, as well as other members of the Product Design team - Prioritise for delivering impact while balancing business priorities, customer wishes and technical considerations - Document user needs and pain points, design directions, UX trade-offs, and detailed designs for specific features and enhancements - Execute research and contribute to quantitative and qualitative research initiatives with researchers, cross-functional collaborators, customers, and members of the Grafana user community What Makes You a Great Fit: - 7+ years of relevant design experience working on B2B/enterprise software products, ideally designing tools and services for developers or other highly technical users - A portfolio of effective designs for complex products delivered in a fast-paced environment - Experience running qualitative research in complex fields, building empathy with users and humans, their needs and pain points even when you have very little in common with them - Ability to make design decisions that appropriately balance business goals, product priorities, customer feedback, research insights, and technical considerations - Ability to collaborate with cross-functional teams across multiple locations and time-zones to iteratively ship and evolve products while keeping the end design vision in mind - Attention to detail and willingness to learn about a complex, very technical product space - Experience working in a fully-remote, fast-paced environment where you are expected to share openly, default to transparency, and embrace your autonomy Bonus Points For: - Experience designing complex, data-dense interfaces with a focus on clarity - Ability to rapidly gain an understanding of a technical domain and associated customer needs and user workflows in order to design effective experiences within that domain - Domain knowledge or experience related to observability, cloud infrastructure, and/or database monitoring - Experience helping design teams, especially at engineering led companies, level up their practice, collaboration with partner functions, and user and organizational impact When you apply, please: - Provide an example of an experience where decision-making in a complex area is made easy through a well-curated UI. Add a sentence or two about what you believe makes it effective. Compensation & Rewards: In the United Kingdom, the Base compensation range for this role is GBP 83,726 - GBP 100,470 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: - 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. - Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. - Transparent Communication – Expect open decision-making and regular company-wide updates. - Innovation-Driven – Autonomy and support to ship great work and try new things. - Open Source Roots – Built on community-driven values that shape how we work. - Empowered Teams – High trust, low ego culture that values outcomes over optics. - Career Growth Pathways – Defined opportunities to grow and develop your career. - Approachable Leadership – Transparent execs who are involved, visible, and human. - Passionate People – Join a team of smart, supportive folks who care deeply about what they do. - In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. - Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .
Senior Product Designer, Knowledge Graph | Sweden...
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Senior Product Designer, Knowledge Graph This is a remote position based in Sweden. The Opportunity: As a Senior Product Designer at Grafana Labs, you will join a growing Product Design organization of more than 25 designers, researchers, engineers, and design leaders distributed across six continents. You will work within a 100% remote R&D organization, so strong, proactive remote communication, collaboration, facilitation, and relationship building skills will be essential to your success. As Senior Product Designer for Grafana Cloud’s Knowledge Graph , you'll design experiences for the context layer of Grafana Cloud that powers our entity graph, entity catalog and RCA workbench. Knowledge Graph automatically discovers services, infrastructure, and databases from the telemetry teams already have, maps how they depend on each other, and runs anomaly detection. This gives engineers, SREs, and their agents an up to date picture of their systems. We want anyone to be able to understand a system and resolve an incident faster, without writing queries or maintaining alert rules, not just the one person who happens to know it best. Over time, you will develop deep expertise in your product area and associated customer and user personas, use cases, and workflows, which will enable you to design tailored, role-driven experiences. You will also have an opportunity to contribute to the evolution of the Product Design team at Grafana by coaching and mentoring other designers, collaborating on team internal initiatives, and helping evolve new ways of working, learning, and having fun together as the team scales. What You’ll Be Doing: - Enabling customers to easily understand and explore how their systems connect to each other. Find clear, simple ways to show complex, constantly-changing information without overwhelming the user - Translate research and data to experiences that are easy to digest and break down complexity - Tailor the experience to different target audiences, covering multiple user perspectives - Work cross-functionally with peers and leaders in engineering, product management, technical writing, and GTM functions, as well as other members of the Product Design team - Prioritise for delivering impact while balancing business priorities, customer wishes and technical considerations - Document user needs and pain points, design directions, UX trade-offs, and detailed designs for specific features and enhancements - Execute research and contribute to quantitative and qualitative research initiatives with researchers, cross-functional collaborators, customers, and members of the Grafana user community What Makes You a Great Fit: - 7+ years of relevant design experience working on B2B/enterprise software products, ideally designing tools and services for developers or other highly technical users - A portfolio of effective designs for complex products delivered in a fast-paced environment - Experience running qualitative research in complex fields, building empathy with users and humans, their needs and pain points even when you have very little in common with them - Ability to make design decisions that appropriately balance business goals, product priorities, customer feedback, research insights, and technical considerations - Ability to collaborate with cross-functional teams across multiple locations and time-zones to iteratively ship and evolve products while keeping the end design vision in mind - Attention to detail and willingness to learn about a complex, very technical product space - Experience working in a fully-remote, fast-paced environment where you are expected to share openly, default to transparency, and embrace your autonomy Bonus Points For: - Experience designing complex, data-dense interfaces with a focus on clarity - Ability to rapidly gain an understanding of a technical domain and associated customer needs and user workflows in order to design effective experiences within that domain - Domain knowledge or experience related to observability, cloud infrastructure, and/or database monitoring - Experience helping design teams, especially at engineering led companies, level up their practice, collaboration with partner functions, and user and organizational impact When you apply, please: - Provide an example of an experience where decision-making in a complex area is made easy through a well-curated UI. Add a sentence or two about what you believe makes it effective. Compensation & Rewards: In Sweden, the Base compensation range for this role is SEK 721,312 - SEK 865,574 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: - 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. - Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. - Transparent Communication – Expect open decision-making and regular company-wide updates. - Innovation-Driven – Autonomy and support to ship great work and try new things. - Open Source Roots – Built on community-driven values that shape how we work. - Empowered Teams – High trust, low ego culture that values outcomes over optics. - Career Growth Pathways – Defined opportunities to grow and develop your career. - Approachable Leadership – Transparent execs who are involved, visible, and human. - Passionate People – Join a team of smart, supportive folks who care deeply about what they do. - In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. - Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .
Senior Product Designer, Knowledge Graph | Spain |...
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Senior Product Designer, Knowledge Graph This is a remote position based in Spain. The Opportunity: As a Senior Product Designer at Grafana Labs, you will join a growing Product Design organization of more than 25 designers, researchers, engineers, and design leaders distributed across six continents. You will work within a 100% remote R&D organization, so strong, proactive remote communication, collaboration, facilitation, and relationship building skills will be essential to your success. As Senior Product Designer for Grafana Cloud’s Knowledge Graph , you'll design experiences for the context layer of Grafana Cloud that powers our entity graph, entity catalog and RCA workbench. Knowledge Graph automatically discovers services, infrastructure, and databases from the telemetry teams already have, maps how they depend on each other, and runs anomaly detection. This gives engineers, SREs, and their agents an up to date picture of their systems. We want anyone to be able to understand a system and resolve an incident faster, without writing queries or maintaining alert rules, not just the one person who happens to know it best. Over time, you will develop deep expertise in your product area and associated customer and user personas, use cases, and workflows, which will enable you to design tailored, role-driven experiences. You will also have an opportunity to contribute to the evolution of the Product Design team at Grafana by coaching and mentoring other designers, collaborating on team internal initiatives, and helping evolve new ways of working, learning, and having fun together as the team scales. What You’ll Be Doing: - Enabling customers to easily understand and explore how their systems connect to each other. Find clear, simple ways to show complex, constantly-changing information without overwhelming the user - Translate research and data to experiences that are easy to digest and break down complexity - Tailor the experience to different target audiences, covering multiple user perspectives - Work cross-functionally with peers and leaders in engineering, product management, technical writing, and GTM functions, as well as other members of the Product Design team - Prioritise for delivering impact while balancing business priorities, customer wishes and technical considerations - Document user needs and pain points, design directions, UX trade-offs, and detailed designs for specific features and enhancements - Execute research and contribute to quantitative and qualitative research initiatives with researchers, cross-functional collaborators, customers, and members of the Grafana user community What Makes You a Great Fit: - 7+ years of relevant design experience working on B2B/enterprise software products, ideally designing tools and services for developers or other highly technical users - A portfolio of effective designs for complex products delivered in a fast-paced environment - Experience running qualitative research in complex fields, building empathy with users and humans, their needs and pain points even when you have very little in common with them - Ability to make design decisions that appropriately balance business goals, product priorities, customer feedback, research insights, and technical considerations - Ability to collaborate with cross-functional teams across multiple locations and time-zones to iteratively ship and evolve products while keeping the end design vision in mind - Attention to detail and willingness to learn about a complex, very technical product space - Experience working in a fully-remote, fast-paced environment where you are expected to share openly, default to transparency, and embrace your autonomy Bonus Points For: - Experience designing complex, data-dense interfaces with a focus on clarity - Ability to rapidly gain an understanding of a technical domain and associated customer needs and user workflows in order to design effective experiences within that domain - Domain knowledge or experience related to observability, cloud infrastructure, and/or database monitoring - Experience helping design teams, especially at engineering led companies, level up their practice, collaboration with partner functions, and user and organizational impact When you apply, please: - Provide an example of an experience where decision-making in a complex area is made easy through a well-curated UI. Add a sentence or two about what you believe makes it effective. Compensation & Rewards: In Spain, the Base compensation range for this role is EUR 75,724 - EUR 90,869 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: - 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. - Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. - Transparent Communication – Expect open decision-making and regular company-wide updates. - Innovation-Driven – Autonomy and support to ship great work and try new things. - Open Source Roots – Built on community-driven values that shape how we work. - Empowered Teams – High trust, low ego culture that values outcomes over optics. - Career Growth Pathways – Defined opportunities to grow and develop your career. - Approachable Leadership – Transparent execs who are involved, visible, and human. - Passionate People – Join a team of smart, supportive folks who care deeply about what they do. - In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. - Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .
Senior Product Designer, Knowledge Graph | Ireland...
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Senior Product Designer, Knowledge Graph This is a remote position based in Ireland. The Opportunity: As a Senior Product Designer at Grafana Labs, you will join a growing Product Design organization of more than 25 designers, researchers, engineers, and design leaders distributed across six continents. You will work within a 100% remote R&D organization, so strong, proactive remote communication, collaboration, facilitation, and relationship building skills will be essential to your success. As Senior Product Designer for Grafana Cloud’s Knowledge Graph , you'll design experiences for the context layer of Grafana Cloud that powers our entity graph, entity catalog and RCA workbench. Knowledge Graph automatically discovers services, infrastructure, and databases from the telemetry teams already have, maps how they depend on each other, and runs anomaly detection. This gives engineers, SREs, and their agents an up to date picture of their systems. We want anyone to be able to understand a system and resolve an incident faster, without writing queries or maintaining alert rules, not just the one person who happens to know it best. Over time, you will develop deep expertise in your product area and associated customer and user personas, use cases, and workflows, which will enable you to design tailored, role-driven experiences. You will also have an opportunity to contribute to the evolution of the Product Design team at Grafana by coaching and mentoring other designers, collaborating on team internal initiatives, and helping evolve new ways of working, learning, and having fun together as the team scales. What You’ll Be Doing: - Enabling customers to easily understand and explore how their systems connect to each other. Find clear, simple ways to show complex, constantly-changing information without overwhelming the user - Translate research and data to experiences that are easy to digest and break down complexity - Tailor the experience to different target audiences, covering multiple user perspectives - Work cross-functionally with peers and leaders in engineering, product management, technical writing, and GTM functions, as well as other members of the Product Design team - Prioritise for delivering impact while balancing business priorities, customer wishes and technical considerations - Document user needs and pain points, design directions, UX trade-offs, and detailed designs for specific features and enhancements - Execute research and contribute to quantitative and qualitative research initiatives with researchers, cross-functional collaborators, customers, and members of the Grafana user community What Makes You a Great Fit: - 7+ years of relevant design experience working on B2B/enterprise software products, ideally designing tools and services for developers or other highly technical users - A portfolio of effective designs for complex products delivered in a fast-paced environment - Experience running qualitative research in complex fields, building empathy with users and humans, their needs and pain points even when you have very little in common with them - Ability to make design decisions that appropriately balance business goals, product priorities, customer feedback, research insights, and technical considerations - Ability to collaborate with cross-functional teams across multiple locations and time-zones to iteratively ship and evolve products while keeping the end design vision in mind - Attention to detail and willingness to learn about a complex, very technical product space - Experience working in a fully-remote, fast-paced environment where you are expected to share openly, default to transparency, and embrace your autonomy Bonus Points For: - Experience designing complex, data-dense interfaces with a focus on clarity - Ability to rapidly gain an understanding of a technical domain and associated customer needs and user workflows in order to design effective experiences within that domain - Domain knowledge or experience related to observability, cloud infrastructure, and/or database monitoring - Experience helping design teams, especially at engineering led companies, level up their practice, collaboration with partner functions, and user and organizational impact When you apply, please: - Provide an example of an experience where decision-making in a complex area is made easy through a well-curated UI. Add a sentence or two about what you believe makes it effective. Compensation & Rewards: In Ireland, the Base compensation range for this role is EUR 94,760 - EUR 113,712 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: - 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. - Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. - Transparent Communication – Expect open decision-making and regular company-wide updates. - Innovation-Driven – Autonomy and support to ship great work and try new things. - Open Source Roots – Built on community-driven values that shape how we work. - Empowered Teams – High trust, low ego culture that values outcomes over optics. - Career Growth Pathways – Defined opportunities to grow and develop your career. - Approachable Leadership – Transparent execs who are involved, visible, and human. - Passionate People – Join a team of smart, supportive folks who care deeply about what they do. - In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. - Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .
Senior Product Designer, Knowledge Graph | Germany...
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Senior Product Designer, Knowledge Graph This is a remote position based in Germany. The Opportunity: As a Senior Product Designer at Grafana Labs, you will join a growing Product Design organization of more than 25 designers, researchers, engineers, and design leaders distributed across six continents. You will work within a 100% remote R&D organization, so strong, proactive remote communication, collaboration, facilitation, and relationship building skills will be essential to your success. As Senior Product Designer for Grafana Cloud’s Knowledge Graph , you'll design experiences for the context layer of Grafana Cloud that powers our entity graph, entity catalog and RCA workbench. Knowledge Graph automatically discovers services, infrastructure, and databases from the telemetry teams already have, maps how they depend on each other, and runs anomaly detection. This gives engineers, SREs, and their agents an up to date picture of their systems. We want anyone to be able to understand a system and resolve an incident faster, without writing queries or maintaining alert rules, not just the one person who happens to know it best. Over time, you will develop deep expertise in your product area and associated customer and user personas, use cases, and workflows, which will enable you to design tailored, role-driven experiences. You will also have an opportunity to contribute to the evolution of the Product Design team at Grafana by coaching and mentoring other designers, collaborating on team internal initiatives, and helping evolve new ways of working, learning, and having fun together as the team scales. What You’ll Be Doing: - Enabling customers to easily understand and explore how their systems connect to each other. Find clear, simple ways to show complex, constantly-changing information without overwhelming the user - Translate research and data to experiences that are easy to digest and break down complexity - Tailor the experience to different target audiences, covering multiple user perspectives - Work cross-functionally with peers and leaders in engineering, product management, technical writing, and GTM functions, as well as other members of the Product Design team - Prioritise for delivering impact while balancing business priorities, customer wishes and technical considerations - Document user needs and pain points, design directions, UX trade-offs, and detailed designs for specific features and enhancements - Execute research and contribute to quantitative and qualitative research initiatives with researchers, cross-functional collaborators, customers, and members of the Grafana user community What Makes You a Great Fit: - 7+ years of relevant design experience working on B2B/enterprise software products, ideally designing tools and services for developers or other highly technical users - A portfolio of effective designs for complex products delivered in a fast-paced environment - Experience running qualitative research in complex fields, building empathy with users and humans, their needs and pain points even when you have very little in common with them - Ability to make design decisions that appropriately balance business goals, product priorities, customer feedback, research insights, and technical considerations - Ability to collaborate with cross-functional teams across multiple locations and time-zones to iteratively ship and evolve products while keeping the end design vision in mind - Attention to detail and willingness to learn about a complex, very technical product space - Experience working in a fully-remote, fast-paced environment where you are expected to share openly, default to transparency, and embrace your autonomy Bonus Points For: - Experience designing complex, data-dense interfaces with a focus on clarity - Ability to rapidly gain an understanding of a technical domain and associated customer needs and user workflows in order to design effective experiences within that domain - Domain knowledge or experience related to observability, cloud infrastructure, and/or database monitoring - Experience helping design teams, especially at engineering led companies, level up their practice, collaboration with partner functions, and user and organizational impact When you apply, please: - Provide an example of an experience where decision-making in a complex area is made easy through a well-curated UI. Add a sentence or two about what you believe makes it effective. Compensation & Rewards: In Germany, the Base compensation range for this role is EUR 88,240 - EUR 105 ,888 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: - 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. - Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. - Transparent Communication – Expect open decision-making and regular company-wide updates. - Innovation-Driven – Autonomy and support to ship great work and try new things. - Open Source Roots – Built on community-driven values that shape how we work. - Empowered Teams – High trust, low ego culture that values outcomes over optics. - Career Growth Pathways – Defined opportunities to grow and develop your career. - Approachable Leadership – Transparent execs who are involved, visible, and human. - Passionate People – Join a team of smart, supportive folks who care deeply about what they do. - In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. - Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .
Senior Machine Learning Engineer (Growth)
Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. We're looking for a Senior Machine Learning Engineer to join our Engagement ML team, working as part of the cross-functional Onboarding squad in Discord's Growth organization. You'll design and build 0→1 end-to-end ML solutions that help brand-new users find their place on Discord: the servers, people, and content that turn a first session into a long-term connection to the product. If this excites you, keep reading! What You'll Be Doing - Design, build, and scale the recommendation systems that connect new users to communities and content, from candidate generation and ranking through to online serving. - Solve cold-start personalization for users with little or no history on Discord, turning the limited signals available into recommendations for servers, communities, and content. - Build and deploy ML models that lift new-user retention, combining purpose-built approaches with shared foundations such as user and server embeddings. - Collaborate cross-functionally to shape the Onboarding roadmap, balancing fast learning experiments with the long-term complexity and scalability of the systems behind them What you should have - 5+ years of experience in Machine Learning, Data Science, or Applied Science, with a track record of shipping recommendation or personalization systems end to end. - Hands-on experience building modern recommendation systems: retrieval and ranking pipelines, embedding-based retrieval (e.g. two-tower models), and deep learning models (e.g. transformers, multi-task learning). - Strong proficiency in Python and ML frameworks such as PyTorch, JAX, or TensorFlow. - Experience taking ML systems from ideation to production at scale, including feature pipelines, model serving, monitoring, and online experimentation. - Strong product intuition and a passion for building 0→1 ML applications grounded in user feedback and real-world impact. - Excellent communication and collaboration skills, able to serve as the ML voice on a cross-functional squad and keep stakeholders aligned on trade-offs, priorities, and progress. - The ability to thrive in ambiguous environments, energized by tackling open-ended, technically challenging problems Bonus Points If You Have: - Experience with cold-start or new-user personalization, onboarding flows, or preference elicitation. - Built user representation models or applied social-graph signals to recommendation problems. - Worked on growth or engagement problems for consumer products, such as community and content recommendations, user activation, or retention. - Experience with large-scale recommendation systems, data infrastructure, distributed computing, and vector search. The base salary range for this full-time position is listed below. This position will also be eligible for equity and benefits. Benefits include medical, dental, and vision insurance; a 401(k) plan; life and disability insurance; paid time off; and paid parental leave. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in role postings reflect the base salary only, and do not include equity, or benefits. Applications for this role are accepted on an ongoing basis. Base Salary $220,000 - $275,000 USD Why Discord? Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.
Account Executive - Startups & AI, New Zealand
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Startups team is a highly consultative sales team that is responsible for the growth of Stripe’s new and existing Startup users. Our focus is on identifying and partnering with high-potential startups, assisting them in monetizing their products, scaling globally, and creating new revenue streams. By bringing the next generation of high-potential users to Stripe, we aim to support Stripe’s mission to to increase the GDP of the internet while fostering sustainable growth. What you’ll do In this role you will create partnerships between Stripe and the most innovative and fastest-growing startups in the New Zealand market by helping them to understand how Stripe’s financial infrastructure can support their growth ambitions and create a competitive advantage for their businesses. Responsibilities - Identify high-potential prospective users from inbound leads and outbound prospecting - Own the full sales cycle from lead to close for non funded startups - Develop and implement full sales cycle strategies for driving product adoption, net new product sales, and client retention at scale among existing Stripe customers - Solve complex client needs and work across product, sales, risk, and operations teams to improve our product - You need to generate your own leads through cold calling, blitzing, research, networking, and driving your territory. - Identify and understand users’ pain points to propose Stripe solutions Who you are We’re looking for a well-rounded strategic seller who can build strong relationships with Stripe’s clients and manage high velocity deal cycles. Our users are some of the most ambitious customers and a successful candidate will match their curiosity, speed and passion to build things by overcoming challenges. You are solution-oriented, adaptable, have a keen interest in further developing yourself and know how to get things done. We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - 5+ years of sales or prospecting experience, preferably at a technology company, with a track record of top performance - Good understanding of and familiarity with the New Zealand market - Ability to understand complex technical ecosystems and build great relationships with technical customers - Ability to drive and close upsell opportunities for additional Stripe products in long-term, consultative engagements - Analytical ability to manage complex pricing and cost considerations - Experience managing projects with input from cross-functional teams - A knack for working well with a wide range of stakeholders, both internally and externally - Ability and motivation to operate in a highly ambiguous and fast-paced environment - Superior verbal and written communication skills Preferred requirements - Prior experience in payments - Prior experience in the startup ecosystem, either as founder or operator in a fast-scaling company - Interest in business models and monetization - AI Expertise
Account Executive - Startups & AI (Korean Speaking...
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Startups team is a highly consultative sales team that is responsible for the growth of Stripe’s new and existing Startup users. Our focus is on identifying and partnering with high-potential startups, assisting them in monetizing their products, scaling globally, and creating new revenue streams. By bringing the next generation of high-potential users to Stripe, we aim to support Stripe’s mission to to increase the GDP of the internet while fostering sustainable growth. What you’ll do In this role you will create partnerships between Stripe and the most innovative and fastest-growing startups in the Korea market by helping them to understand how Stripe’s financial infrastructure can support their growth ambitions and create a competitive advantage for their businesses. Responsibilities - Identify high-potential prospective users from inbound leads and outbound prospecting - Generate your own leads through cold calling, blitzing, research, networking, and driving your territory - Own the full sales cycle from lead to close for startups - Develop and implement full sales cycle strategies for driving product adoption, net new product sales, and client retention at scale among existing Stripe customers - Solve complex client needs and work across product, sales, risk, and operations teams to improve our product - Identify and understand users’ pain points to propose Stripe solutions - Work with the other in-country and other go-to-market teams on shared initiatives and represent the Startups team at regional events - Make sure that internal teams are set up for users’ success by coordinating with other Stripe teams such as Solution architects, SDRs, Marketing, Product and many more Who you are We’re looking for a well-rounded strategic seller who can build strong relationships with Stripe’s clients and manage high velocity deal cycles. Our users are some of the most ambitious customers and a successful candidate will match their curiosity, speed and passion to build things by overcoming challenges. You are solution-oriented, adaptable, have a keen interest in further developing yourself and know how to get things done. We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - 5+ years of sales or prospecting experience, preferably at a technology company, with a track record of top performance - Solid communication in English and Korean language, as the role involves working with users within the Korea region - Ability to understand complex technical ecosystems and build great relationships with technical customers - Ability to drive and close upsell opportunities for additional Stripe products in long-term, consultative engagements - Analytical ability to manage complex pricing and cost considerations - Experience managing projects with input from cross-functional teams - A knack for working well with a wide range of stakeholders, both internally and externally - Ability and motivation to operate in a highly ambiguous and fast-paced environment - Superior verbal and written communication skills Preferred requirements - Prior experience in payments - Prior experience in the startup ecosystem, either as founder or operator in a fast-scaling company - Interest in business models and monetization - AI Expertise
Senior AI Operations Engineer, Enterprise Tech
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Corporate Engineering team is building and scaling the next generation of enterprise AI infrastructure at Robinhood. Our mission is to make AI capabilities reliable, secure, and accessible across the company, enabling teams to build, deploy, and operate intelligent solutions at scale. From enterprise LLM integrations to agentic workflows and hybrid cloud infrastructure, we're creating the foundation that supports how Robinhood leverages AI internally. As a Senior AI Operations Engineer, Enterprise Tech, you'll play a key role in building, operating, and improving the infrastructure behind Robinhood's enterprise AI capabilities. You'll work across AI platforms, LLM integrations, automation, and production infrastructure, serving as a technical expert for complex challenges while partnering directly with developers and internal teams. This is an opportunity to help shape a growing function, solve emerging problems in AI operations, and build the systems and tooling that enable AI adoption across Robinhood. This role is based in our Menlo Park, CA, New York, NY, and Bellevue, WA offices, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do - Build internal tooling, automation, and self-service solutions that streamline AI operations, reduce manual intervention, and improve the developer experience. - Own complex technical troubleshooting and escalations across AI platforms, working directly with developers and internal teams to resolve issues involving LLM integrations, model behavior, APIs, and system performance. - Manage and optimize enterprise integrations with LLM providers, including Anthropic Claude and Google Gemini, focusing on performance, token utilization, reliability, and cost efficiency. - Develop and improve observability, monitoring, and deployment pipelines for AI workloads, tracking metrics such as inference latency, API costs, token usage, and error rates. - Support and optimize agentic workflows, orchestration layers, vector databases, and retrieval-augmented generation (RAG) systems to improve reliability and scalability. - Partner with Product, Software Engineering, Business Systems, and AI Strategy teams to identify recurring issues, incorporate user feedback, and drive long-term improvements to enterprise AI capabilities. What you bring - 5+ years of experience in IT Operations, Site Reliability Engineering, or AI infrastructure and support, with a track record of operating complex production systems. - Hands-on experience with enterprise AI platforms and LLM integrations, particularly Anthropic Claude and Google Gemini, including API integrations, prompt operations, and token management. - Strong Linux administration skills and proficiency in scripting and automation using Python, Bash, or similar languages. - Experience with infrastructure provisioning, configuration management, and orchestration tools such as Terraform, Ansible, Chef, or Kubernetes. - Strong understanding of production infrastructure, system reliability, monitoring, and troubleshooting across cloud or on-premises environments. - Ability to independently investigate ambiguous technical problems, identify root causes, and develop scalable solutions that prevent recurring issues. - Strong communication and collaboration skills, with experience partnering directly with developers and cross-functional teams to resolve technical challenges. - Bonus: Experience with GPU clusters, AI workload orchestration (Slurm, Ray), vector databases (Pinecone, Milvus), AI frameworks (LangChain, LlamaIndex), or hybrid cloud and bare-metal infrastructure. What we offer - Challenging, high-impact work to grow your career. - Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching. - Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents. - Access to the Robinhood Employee Fund that gives eligible US employees the opportunity to invest in a private employee fund that provides exposure to Robinhood Ventures funds. - Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not. - Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more. - Employer-paid life & disability insurance, fertility benefits, and mental health benefits. - Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! - Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $153,000 - $180,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $134,000 - $158,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $119,000 - $140,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
Senior Customer Engineer - Montreal, QC
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Montreal, QC Professional working proficiency in French & English (written and spoken) is required. (Compétence professionnelle complète en français, à l'oral et à l'écrit, requise.) What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. - Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. - AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. - Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications - Professional working proficiency in French & English (written and spoken) is required. (Compétence professionnelle complète en français, à l'oral et à l'écrit, requise.) - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. - Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. - Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: - Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. - Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. - Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. - AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. - Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. - Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") - Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. - Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. - Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. - Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role will require travel up to 20–50% to attend customer meetings, conferences, industry events, and other in-person team meetings, within the assigned territory. For this reason, candidates must have reliable personal or local public transportation to complete all required travel. Required travel is reimbursable in accordance with the Company's Travel & Expense Policy, as it may be amended from time to time. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Presales Customer Engineer
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Sydney , Australia What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. - Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. - AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. - Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. - Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. - Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: - Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. - Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. - Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. - AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. - Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. - Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") - Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. - Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. - Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. - Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Customer Engineer AI/ Start Up's
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations - San Francisco, US - We are only considering locally based candidates OR candidates looking to move to the Bay Area. - Customer Engineer - (AI & Start-Ups) - About the Role Digital Native SEs at Cloudflare work with the most innovative and cutting-edge companies on the planet — the startups and high-growth, cloud-native businesses that are building the next generation of Internet products. These are companies where the developers are the decision makers, and where the CTO is often personally responsible for shipping new products and getting the company's AI initiatives off the ground. This role is for a technologist who genuinely enjoys being in the room with builders. You'll be equally comfortable jumping into a Slack channel with a founding engineer, whiteboarding an architecture with a lead developer, and stepping into a strategic conversation with a CTO about their platform and AI roadmap. You speak the language of engineers fluently and can hold a credible, detailed technical conversation — but this is not a software developer role, and you won't be writing production code every day. Your superpower is technical discovery, translation, and evangelism: understanding what a builder is trying to accomplish, mapping it to the full breadth of the Cloudflare Developer Platform, and inspiring teams to build on Cloudflare rather than just consume a single service. The Digital Native segment leans heavily on Solutions Engineering to lead technical discovery within the cloud-developer vertical. You'll be expected to go deep on the Cloudflare Developer Platform — Workers, Durable Objects, Workers AI, R2, KV, D1, Vectorize, Queues, Pages, and the broader developer ecosystem — far beyond basic storage, and to make the case for Cloudflare as the place to build. This role covers both the acquisition of new Digital Native accounts and the expansion of existing ones. The ideal candidate is a "builder" personality with a strong mix of pre-sales/technical customer-facing experience who thrives in an agile, fast-moving environment. What you'll do as a Senior Solutions Engineer The Pre-Sales Solution Engineering organization owns the technical sales of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. Solution Engineering is made up of individuals from a wide range of backgrounds including but not limited to Sales Consultants, Technical Consultants, Technical Support and Program Managers. You are a customer-facing technologist within the Cloudflare Solutions Engineering team, focused on the developer-first, digital-native segment. You have experience in a pre-sales or other technical customer-facing role, and you're at your best when engaging directly with engineering teams and technical founders. In this role you'll partner closely with the sales team from the very start of the cycle — joining early discovery calls, qualifying opportunities from the get-go, and embedding yourself in customer Slack channels and working sessions. You'll lead technical discovery, deliver compelling demos and architecture discussions, run proof-of-concept builds, and evangelize the Cloudflare Developer Platform as the foundation for our customers' next products and AI initiatives. Responsibilities Specifically, we are looking for you to: - Lead technical discovery within the cloud-developer vertical — asking the right questions to uncover how a customer builds, what they're trying to ship, and where Cloudflare fits. - Engage early and often: join sales-led discovery calls from the outset, help qualify deals from the get-go, and stay embedded with customer teams (including in their Slack channels and working sessions) throughout the cycle. - Identify and map customer initiatives and business problems — especially around new product development and AI initiatives — to the Cloudflare platform. - Build relationships and technical champions within customer accounts, from founding engineers and developers up to the CTO. - Develop and present tailored technical content and demos for both hands-on developer audiences and senior technical leadership. - Lead demo and proof-of-concept / build activities for Cloudflare prospects and customers. - Evangelize the Cloudflare Developer Platform (Workers, Workers AI, Durable Objects, R2, D1, KV, Vectorize, Queues, Pages and more) — making the case for customers to build on Cloudflare, not just use it for storage or CDN. - Demonstrate your expertise with your peers through the creation of professional content, including reference architectures, demos, blog posts and other knowledge-sharing activities. - Represent and evangelize Cloudflare externally at Developer, Community, Technology and Industry events with thought leadership and expertise. - Apply in-depth vertical knowledge or domain expertise. Advise on best practices. Desirable Skills, Knowledge, and Experience - Previous experience as a Solutions Engineer or other customer-facing technical role, ideally selling to or working with developer-led, cloud-native, or startup organizations. - A genuine "builder" mindset and the personality to match: you enjoy talking to developers, you're curious, and you naturally gravitate toward technical problem-solving conversations. - The ability to speak engineers' language credibly — you can hold your own on architecture, APIs, and platform design — without this being a hands-on, code-every-day developer role. - Strong technical discovery instincts: you know how to draw out requirements, qualify fit early, and separate real needs from noise. - A good mix of pre-sales / technical sales experience and comfort operating in an agile, fast-moving environment (joining Slack channels, iterating quickly, engaging in early-stage calls, and qualifying deals from the start). - Solid communication, written and presentation skills, with the range to talk to both a hands-on developer and a CTO in the same day. - Ability to work on several projects and activities concurrently. - Highly driven, curious, team-oriented, and able to work with a sense of urgency. - You've built web applications before, or contributed to existing web applications in a meaningful way — enough to have real empathy for how developers work. - Polished communication and executive presentation skills with the ability to drive a discussion with a broad range of stakeholders (from the web developer to the CTO/CISO). - Relationship building: a proven track record of building deep technical relationships with engineers and technical founders. Experience managing various stakeholder relationships to build consensus on technical solutions/projects. - Experience managing technical sales within accounts, including developing champion-style relationships, driving technical wins, and assisting with technical validation. - Bachelor's Degree or equivalent in relevant work experience. - The role requires up to 50% travel to attend meetings with prospects or customers, attend conferences and other industry events, and to collaborate with your Cloudflare teammates. A deep understanding of the Cloudflare Developer Platform and core industry components (and a desire to learn more): - The Cloudflare Developer Platform — serverless compute and application development with Workers, Durable Objects, Workers AI, R2, KV, D1, Vectorize, Queues, and Pages. Familiarity with building or architecting applications on a serverless/edge platform is a strong plus. - AI/GenAI application patterns — inference at the edge, RAG, vector databases, and how startups are operationalizing AI initiatives. - HTTP technologies including reverse proxy (e.g., WAF and CDN), forward proxy (secure web gateway), and serverless application development. - Internet security technologies including DDoS and DDoS mitigation, Firewalls, TLS, VPN, DLP. - Networking technologies including TCP, UDP, DNS, IPv4 + IPv6, BGP routing, GRE, SD-WAN, MPLS, Global Traffic Management. - Zero-trust network access (ZTNA & SASE) concepts including identity management and authentication. - Cloud computing technologies such as AWS, GCP, Azure and others. - Some scripting or programming familiarity with one or more of JavaScript/TypeScript, Python, Golang, BASH — enough to read code, build a demo, and converse with engineers (not to ship production software). - Understanding of, or experience with, regulatory requirements such as FedRAMP, GDPR, PCI DSS, HIPAA, SOC-2, ISO/IEC. - An undergraduate degree in Computer Science, Engineering or a related field. Reminder: this is not a strict requirement at all. Candidates from all walks of life are welcome. - You can translate technical concepts and jargon for a wide variety of audiences: from systems engineers, to front-end developers, through to technical founders and C-levels. - You want to be constantly learning new things and teaching what you've learned to the broader team through internal and external blog posts, team demos, and product training sessions. - You have a knack for understanding problems and finding creative ways to solve them. Our product suite is ever-growing, and knowing how to identify which parts will solve a customer's particular problem is important. - You understand how to manage a project, work to deadlines, and prioritize between competing demands. - Compensation Compensation may be adjusted depending on work location. - For San Francisco based hires: Estimated annual salary of $150,000 to $220,000 OTE, Base + Commissions. - Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Staff Backend Engineer, Supportability Decisions
About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies, from the world’s largest enterprises to the most ambitious startups, use Stripe to accept payments, grow their revenue and accelerate new business opportunities. Our mission is to increase the GDP of the internet and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Supportability sits at the vital intersection of platform safety, regulatory trust and merchant growth. Our mission is to ensure legitimate businesses can seamlessly onboard and thrive on Stripe, while proactively safeguarding the financial ecosystem from bad actors and high-risk activity. The Supportability Decisions team is a newly forming pillar anchored in our Dublin office. In this role, you will be the foundational technical lead establishing this capability in Dublin. Our mission is to accelerate Stripe’s global expansion by building the canonical Supportability Decision Layer; a stateful distributed platform that provides unified, real-time, and explainable risk determinations to unlock fast, compliant merchant onboarding and payment method expansion worldwide. Doing this at scale requires solving high-stakes risk challenges with precision. Deceptive merchant activity, such as transaction laundering, introduces significant threats as bad actors actively adapt to mask illicit and unsupported activities behind legitimate storefronts. Rather than relying on rigid, fragmented controls that create unnecessary friction for good users, our team builds the intelligent decision systems that systematically separate legitimate businesses from adversarial behavior, enabling Stripe to grow safely and aggressively. What you’ll do As a Staff Backend Engineer and Technical Lead for Supportability Decisions, you will take ownership of defining and building this new space from the ground up. You will build systems that operate at the intersection of AI/ML, distributed data processing and real-time risk decisioning. You will tackle high-ambiguity technical challenges in an adversarial threat landscape, turning broad risk policies and operational needs into resilient, high-throughput backend services and stateful decision engines. As the technical anchor in Dublin, you will set architectural patterns, mentor engineers as the team scales from its initial members to ~7 ICs, and drive technical alignment with distributed partner teams globally. Responsibilities - Lead the technical vision, system architecture and delivery of the canonical Supportability Decision Layer, establishing stateful, explainable decision APIs consumed across automated systems and human operations. - Architect decision aggregation and AI/ML orchestration pipelines, synthesizing upstream machine learning outputs, website intelligence, backsite detection, and agentic AI evaluations into unified, low-latency determinations. - Design high-throughput, low-latency distributed backend services that balance platform safety, regulatory compliance, and minimal friction for legitimate merchants. - Navigate ambiguous, zero-to-one problem spaces to define clean domain models, contracts and interfaces across transaction laundering detection, web-presence screening and Local Payment Method (LPM) support. - Build resilient, AI-assisted decision engines designed to withstand circumvention, ensuring systems maintain integrity against sophisticated bad actors who actively evolve their tactics. - Serve as the technical lead and mentor for the Dublin engineering team, setting architectural patterns, conducting design reviews, and raising the technical bar as the team expands. - Partner closely with Engineering Managers, Product Managers, Risk Operations, and Data Science to translate strategic risk policy into scalable technical roadmaps. - Drive technical alignment and system integrations across global partner teams, leveraging strong written design artifacts and asynchronous collaboration to ensure cohesive platform architecture. Who you are We're looking for a technical leader who thrives in ambiguity, has deep distributed systems instincts, and is energized by building a critical platform that enables global merchant growth while safeguarding the financial ecosystem. If that sounds like you, we encourage you to apply. Minimum requirements - 10+ years of professional backend software engineering experience building and maintaining complex distributed systems in production. - Proven track record as a technical lead or staff engineer driving multi-quarter technical initiatives from ambiguous requirements to production delivery. - Deep experience designing durable, scalable APIs, data models, and backend architectures capable of processing mission-critical data with high reliability. - Strong communication and leadership skills with experience mentoring engineers, aligning cross-functional stakeholders, and driving technical consensus across distributed teams. - Fluency in a modern backend language (such as Ruby, Java, Go, Python, or C++). Preferred qualifications - Experience building systems in trust, safety, or risk domains where external bad actors actively evolve their tactics (e.g., transaction laundering, fraud, deceptive practices, or platform abuse). - Experience architecting workflow orchestration, policy evaluation, or decision platforms that balance robust risk evaluation with frictionless merchant onboarding and product access. - Familiarity with global payment ecosystems, Local Payment Methods (LPMs), financial partner dynamics, or card network standards. - Background in AI/ML systems, agentic workflows, orchestrators, or integrating machine learning models into high-throughput, real-time backend decision pipelines - Prior experience serving as an anchor or founding engineer establishing a new team or technical domain in a regional engineering hub.
Senior Software Engineer, AI & Infrastructure Plan...
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX | Lisbon, Portugal | London, UK About the role The Snr Software Engineer, AI & Infrastructure Planning role helps Cloudflare build, deploy, and operate one of the world's largest distributed networks. You will build an auditable multi-agent system on Cloudflare’s platform to replace notebooks and email threads with agent-driven forecasts, supply plans, cost models, and workflow approvals into agent workflows that planners & executives rely on for decision analysis. Responsibilities - Collaborate closely with capacity planning, networking, and data center engineering teams to encode technical domain expertise into structured specifications, formal data contracts, and agent functional capabilities. - Architect, deploy, and maintain scalable production agents and durable workflows leveraging the Cloudflare Workers ecosystem, including Durable Objects, Workflows, D1, R2, Queues, Vectorize, Workers AI, and AI Gateway. - Translate core infrastructure planning functions—such as forecasting, supply planning, cost modeling, narrative documentation, and executive approvals—into automated LLM deployment or deterministic logic based agent workflows designed for critical decision-making analysis. - Implement rigorous risk tiering, formal approval checkpoints, detailed audit logs, and execution lineage to ensure safe autonomous operations. - Incorporate predictive statistical and machine learning models into agent systems, establishing robust BigQuery data pipelines, optimized access patterns, and continuous monitoring. - Author comprehensive technical specifications and Requests for Comments (RFCs), perform peer design reviews, and establish architectural standards for AI agent deployment across the organization. Desirable Skills, Knowledge, and Experience - Senior-level software engineering experience, with security conscious production systems you can point to (repos, releases, services you operated). - Strong TypeScript, and comfort building on serverless or edge runtimes (Cloudflare Workers preferred). HTTP APIs, async, queues, performance. - Experience with LLMs and agents: tool calling, structured output, multi-step or multi-agent orchestration, prompt and eval iteration. - Experience with durable state and workflows (Durable Objects, Cloudflare Workflows, or equivalents such as Templets updraoral or Step Functions). - Demonstrated experience in infrastructure planning: capacity planning, forecasting, networking, CDN, cloud or data center capacity, or adjacent work. We will teach you our specific systems. - Solid data skills: SQL, a cloud data warehouse (BigQuery preferred), and working knowledge of forecasting and statistical modeling (backtesting, error metrics, knowing when a model is wrong). - Clear written communication: specs, RFCs, and explanations that planners and executives can use. Bonus Points - A data science or ML background (time series, optimization, predictive modeling) and Python for scientific computing. - Experience with Hono, Zod, OpenAPI, and a modern frontend framework (Astro or React). - Experience with peering, BGP, ASN and IX data, backbone or transit planning, or colo, power, and procurement planning. - Experience with agent frameworks (LangGraph, Autogen, A2A) and knowing what to borrow and what to discard. - CI/CD and infrastructure as code (GitLab CI, Terraform). - Experience building LLM evaluation frameworks or human-review workflows. - Bias for simple, scalable designs. Compensation Compensation may be adjusted depending on work location. - For Portugal-based hires: Estimated annual salary of €66,000-€91,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Hardware Systems Engineer - AI Hardware
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, Texas | Lisbon, Portugal About The Department Cloudflare’s Infrastructure group is responsible for building our global network. Our Hardware Engineering team helps research, develop, test, and deploy new equipment enabling 20% of the world’s internet traffic to be served smoothly. Deployed across 330 cities in 120+ countries, the hardware we select helps improve the security, reliability, and performance of the Internet. About The Role We need to make thoughtful infrastructure choices affecting a significant portion of the Internet. Hardware we work with includes GPUs, servers and components, as well as PDUs and network hardware. As a Hardware Systems Engineer, you will work with colleagues on the Engineering teams, Product and Performance teams, and Hardware Sourcing teams to design, qualify and maintain Cloudflare’s worldwide fleet of GPU servers. What You'll Do - Contribute to the technical requirements and end-to-end delivery of AI infrastructure — compute, networking, storage, power, and cooling — not just the accelerator - Evaluate, select, and qualify AI hardware platforms (GPUs, custom ASICs, SmartNICs, storage) based on real workload requirements and first-principles analysis - Design and validate rack-scale GPU systems: multi-node topologies, high-speed interconnects (NVLink, InfiniBand, RoCE), power distribution, and thermal management - Run hands-on qualification: benchmarking, stress testing, failure mode analysis, and vendor RCA — you close the loop yourself - Assess and qualify ODM/OEM server platforms; engage directly with vendors and work through the full technical qualification cycle - Translate AI product and workload requirements into precise infrastructure specifications - Identify gaps in the existing infrastructure stack and drive solutions across hardware, firmware, software, and operations - Stay ahead of the AI hardware landscape — new silicon, new interconnects, new form factors — and bring informed, opinionated recommendations - Build tooling and automation to support qualification workflows, performance analysis, and ongoing operational visibility - Communicate your results and updates through blog posts and internal talks Examples Of Desirable Skills, Knowledge And Experience - Bachelor’s, Master’s, or PhD degree in Computer Engineering, Electrical Engineering, or Computer Science - Experience in AI infrastructure, systems engineering, or hardware platform engineering - First-principles understanding of AI accelerator architecture: compute pipelines, memory hierarchy (HBM, GDDR), interconnect topology, and/or how workload characteristics map to hardware capabilities - Hands-on experience qualifying AI server platforms — you've run NCCL tests, profiled collective operations, debugged NVLink errors, and chased down PCIe lane misconfigurations - Understand rack-scale systems: high-density power (kW/rack, busbar, PDU), liquid cooling (rear-door, direct liquid, immersion), high-speed networking infrastructure, and/or physical layer constraints - Experience with AI/ML frameworks (vllm, sglang) at the systems level — you understand what they demand from the hardware and where bottlenecks actually live - Familiarity with AI server form factors: HGX, OAC, OAM, UBB, open rack standards, and the tradeoffs between them - Scripting and automation skills (Python, Bash, Go and Linux sysadmin); you build tooling to support your own work and the team's - Strong written communication — you can write a rigorous technical specification and a crisp vendor requirements document - Knowledge of performance benchmarking ; Previous experience in testing, measuring, and/or simulating hardware performance and an understanding of no-stone-left-unturned experimentation - Knowledge of Redfish, IPMI and server remote management protocols, and experience with firmware updates - Harness AI tools and automation to fundamentally accelerate the qualification lifecycle, driving exponential efficiency gains and quality standards. - Possess the organizational skills and interest to manage cross-functional technical projects, ensuring architectural designs seamlessly align with delivery schedules. - Thrive as a deeply self-motivated engineer in ambiguous environments, demonstrating a strong bias for action and the ability to drive initiatives forward without close supervision. Bonus Points - Experience with major AI server ODMs/OEMs and their qualification and customization processes - Exposure to hyperscaler or cloud infrastructure design — understanding how GPU capacity is provisioned, allocated, and operated at scale - Experience with RDMA networking, RoCEv2 congestion control, or InfiniBand fabric management - Understanding of AI workload patterns: LLM training vs. inference, model/tensor/pipeline parallelism, and their memory and bandwidth implications - Familiarity with open compute hardware programs or OCP specifications - Experience of performance optimization based on hardware / software codesign - Experience of kernel development, compiler optimization, or driver development. - Experience of observability and monitoring tools such as Prometheus and Grafana, as well as the ability to observe trends over time - Experience with software development tools and processes such as Git, TeamCity and Jira - Experience in a hyperscale cloud infrastructure role also valuable - Knowledge of debugging server hardware faults and the ability to engage with our sourcing team and vendors to improve quality Who You Are - A self-starter who identifies what needs to be done and executes without waiting to be asked - Genuinely curious — you read architecture whitepapers, follow chip announcements, and have opinions on why one memory subsystem beats another - Equally comfortable racking servers in a lab and writing a detailed technical requirements document - Able to make a defensible technical decision with incomplete information, and communicate the reasoning clearly Compensation Compensation may be adjusted depending on work location. - For Lisbon based hires: Estimated annual salary of €54,000-68,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Machine Learning Engineer Intern
Our Mission As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive—and rapidly growing. We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more. Our Values Take the Lead: We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down. Move Fast: We have a bias for action and urgency. Something that could be done tomorrow would be better if done today. Better Together: We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate. Real Talk: We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same. Safety First: We act with integrity, transparency, and consistency so people feel safe—whether they're swiping, matching, or working alongside us. Spark Fun: We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters. Program Duration The internship program will run from June 1 through August 31, 2027. Where you’ll work This is a hybrid role that requires in-office collaboration three days per week in Palo Alto, California. About the Role The Tinder ML team drives impact across nearly every core domain of the product — from Recommendations and Trust & Safety to Profile, Chat, Growth, and Revenue. Our mission is to apply machine learning to enhance user experiences, foster trust, and accelerate business growth across Tinder’s ecosystem. With Tinder's global scale and impact, you'll be at the forefront of solving some of the most complex challenges in technology. In this internship program, you will collaborate with senior engineers to build and deploy ML solutions that advance Tinder’s business goals. What you'll do: Gain real-world experience on exciting challenges to improve the user experience. Design and implement machine learning algorithms for the assigned domains: Recommendation, Trust, Profile, Chat, Growth, or Revenue. Experience the ML model formulation of production problem under the guidance. Work closely with a Senior Engineers to develop machine learning solutions to further Tinder’s business goals. Participate in the annual Tindership Hackathon, presenting with your team to the entire Tinder team and panel of executives. What we're looking for: Aspiring ML Engineer who’s excited to work on large scale challenges with cutting-edge technology. Practical knowledge of how to build efficient end-to-end ML workflows. Proficient in Python. Hands-on experience in designing and building ML models. Foundational knowledge of basic Computer Science principles: data structures and algorithms. Currently pursuing a BS/BA or MS in Computer Science or a related field. Nice to have: Publications in top ML or data science conferences (e.g., NeurIPS, ICML, RecSys, KDD). Experience deploying ML models in production environments. Familiarity with deep learning frameworks such as PyTorch, TensorFlow, or Keras. Experience with Databricks, Spark, or Airflow. Proficiency in additional programming languages like Go, Java or Scala.
Data Scientist Intern
Our Mission As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive—and rapidly growing. We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more. Our Values Take the Lead: We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down. Move Fast: We have a bias for action and urgency. Something that could be done tomorrow would be better if done today. Better Together: We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate. Real Talk: We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same. Safety First: We act with integrity, transparency, and consistency so people feel safe—whether they're swiping, matching, or working alongside us. Spark Fun: We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters. Program Duration The internship program will run from June 1 through August 31, 2027. Where you’ll work This is a hybrid role that requires in-office collaboration three days per week in San Francisco. About the Role As a Data Scientist Intern at Tinder, you’ll help us uncover insights from one of the world’s largest datasets to enhance user experience, strengthen safety, and drive innovation across our platform. You’ll work alongside talented engineers, data scientists, and product teams to solve real-world problems using data-driven approaches that shape the future of how people connect. What you'll do: Design and execute A/B experiments to measure the impact of product features and algorithmic changes. Help build and improve the team’s experimentation and analytics tooling, including AI-assisted workflows, with a focus on standardization, automation, and clear documentation. Take a scoped analysis from question to recommendation, with guidance from your mentor. Collaborate with cross-functional partners in Data Science, Product, and Engineering to translate insights into actionable strategies. Present key findings and project outcomes to Product and Leadership teams during end-of-internship demos. Translate data insights into clear narratives and recommendations that inform product roadmaps and user experience improvements. Explore and analyze large-scale datasets to identify patterns, trends, and opportunities. What we're looking for: Passion for using data and experimentation to solve complex problems. Intermediate to advanced SQL skills for data querying and analysis. Familiarity with / building to proficiency in Python. Strong foundation in statistics, probability, and experimental design (A/B testing, hypothesis testing). Clear written communication and a curious, fast-learning mindset. Comfort using AI tools (e.g., LLM-based coding and analysis assistants) as a regular part of your workflow, and the judgment to check their output. Currently pursuing a BS/BA, MS, or PhD in Computer Science, Data Science, Economics, Statistics, Applied Math, or a related field.
Data Science Internship
Our Mission As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive—and rapidly growing. We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more. Our Values Take the Lead: We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down. Move Fast: We have a bias for action and urgency. Something that could be done tomorrow would be better if done today. Better Together: We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate. Real Talk: We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same. Safety First: We act with integrity, transparency, and consistency so people feel safe—whether they're swiping, matching, or working alongside us. Spark Fun: We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters. Where you’ll work: This is a hybrid role and requires in-office collaboration in Ghent three times per week. The Team or Role: As a Data Scientist Intern on Tinder’s Modes team in Ghent, you’ll help build new ways for people to meet on Tinder, from group and shared experiences to new modes of using the app. You’ll work with product, engineering, and data science partners to understand how members use these experiences, define how we measure success, and turn insights into product decisions. In this role, you will: Design and execute A/B experiments to measure the impact of product features and algorithmic changes. Help build and improve the team’s experimentation and analytics tooling, including AI-assisted workflows, with a focus on standardization, automation, and clear documentation. Take a scoped analysis from question to recommendation, with guidance from your mentor. Collaborate with cross-functional partners in Data Science, Product, and Engineering to translate insights into actionable strategies. Present key findings and project outcomes to Product and Leadership teams during end-of-internship demos. Translate data insights into clear narratives and recommendations that inform product roadmaps and user experience improvements. Explore and analyze large-scale datasets to identify patterns, trends, and opportunities. You’ll Need: Passion for using data and experimentation to solve complex problems. Intermediate to advanced SQL skills for data querying and analysis. Familiarity with / building to proficiency in Python. Strong foundation in statistics, probability, and experimental design (A/B testing, hypothesis testing). Clear written communication and a curious, fast-learning mindset. Comfort using AI tools (e.g., LLM-based coding and analysis assistants) as a regular part of your workflow, and the judgment to check their output. Currently pursuing a BS/BA, MS, or PhD in Computer Science, Data Science, Economics, Statistics, Applied Math, or a related field.
Staff Engineer, Applied AI
Our Mission As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive—and rapidly growing. We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more. Our Values Take the Lead: We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down. Move Fast: We have a bias for action and urgency. Something that could be done tomorrow would be better if done today. Better Together: We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate. Real Talk: We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same. Safety First: We act with integrity, transparency, and consistency so people feel safe—whether they're swiping, matching, or working alongside us. Spark Fun: We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters. The Team or Role Agents now do real work at Tinder. They review code, security risks, accessibility, make UI improvements, help marketing teams with their workflows, and run inside engineers' coding tools and in Slack. Every one of them reaches our internal systems through our agent platform: a gateway, a growing set of MCP connectors, and the identity, policy and observability layers around them. We're hiring the engineer who owns that platform's design and functions by closely collaborating with internal teams on real use cases. You'll make it safe by default for agents that can read sensitive data and take consequential actions, fast and reliable enough that teams want to build on it, and simple enough that the next connector or agent takes days, not weeks. Where you’ll work: This is a hybrid role and requires in-office collaboration three times per week in our Palo Alto, California office. In this role, you will: Work closely with internal teams to build real solutions for challenges they are facing day to day. Own the design of the agent platform across gateway, connectors, identity, policy, guardrails, observability and cost, and write the roadmap for how it evolves. Design identity and delegation for agents: acting on behalf of a user, agent-owned identities for unattended jobs, short-lived scoped credentials, and every action traceable to a responsible human. Build access control beyond tool allowlists: per-action, per-argument and per-data-class policy, human approval for irreversible actions, and policy that's reviewable and tested. Build guardrails enforced at the tool boundary, not in prompts, against prompt injection through tool output, confused-deputy access, data exfiltration and over-broad scopes. Make agent behavior observable: traces of tool calls and decisions, audit trails investigators can use, evals that catch regressions when models or prompts change, and per-team cost attribution. Set the bar for connectors and third-party MCP servers: onboarding, review, versioning, sandboxing and safe defaults. Run the platform as production and own its on-call: latency budgets, failure modes, rate limits and quotas, kill switches and incident response. Partner with Security, our forward deployed engineers and platform teams, and mentor the engineers who build on and contribute to the platform. You'll need: Great communication and collaboration skills, experience working with real challenges of customer 8+ years building backend, infrastructure or platform systems that other teams depend on, with recent hands-on work on LLM agents, tool use or MCP. Experience shipping identity or authorization systems: OAuth 2.0 and OIDC, token exchange or delegation, service identity, and policy models (RBAC, ABAC or relationship-based). An attacker's mindset about agent systems, and the ability to explain why prompt-level defenses aren't enough. Experience operating gateways, proxies or other services in the critical request path, including on-call, observability and incident response. Strong skills in Python or TypeScript, and daily use of AI coding tools with a clear sense of where they fail. A track record of working well with security teams and impatient internal customers, turning "no" into a safe "yes, like this." Nice to have: Experience with policy engines or workload identity. Built or operated an LLM gateway, model router or MCP server in production. Familiarity with OpenTelemetry and tracing for non-deterministic systems. Contributions to agent identity or MCP authorization standards. Engineering background in application protection, identity and access management, or threat detection and incident response.
Data Scientist, Clinical Outcomes
📍 Hybrid, Palo Alto or San Francisco (Hybrid – 2 days/week in office) Reports to: Director Data Science + Analytics Job Type: Full-time W2 About the Role We are looking for a pragmatic, hands-on Data Scientist to build and own the quantitative foundation for our clinical care delivery, patient treatment plan refinement, and retention engines. In our specialty care model, clinical health outcomes and business growth are directly linked: matching patients to their preferred, personalized treatment path leads to higher clinical efficacy, better satisfaction, and long-term retention. In this role, you won't just work with clean tabular data; you will bridge the gap between structured clinical metrics (lab values, symptom severity scores, dosage trajectories) and unstructured patient communications (visit transcripts, ambient scribe outputs, and intake survey dialogue). You will sit at the intersection of Data Science, Clinical Operations, and Product, serving as a core builder who transforms messy, multi-modal patient data into actionable clinical decision support and personalized care pathways. What You’ll Do Data Foundation & Pipeline Development - Clean & Transform Multi-Modal Clinical Data: Build reliable, well-structured modeling tables and feature stores by parsing, cleaning, and joining raw datasets including lab results, symptom severity surveys, medication history, and raw visit transcripts. - Establish Unstructured Data Workflows: Design robust data processing pipelines to convert unstructured clinical notes, orders and visit transcripts into structured, queryable relational tables. Transcript Mining & Feature Extraction - Extract Patient Intent & Preference: Build lightweight NLP and LLM-based pipelines (using entity extraction, sentiment analysis, and topic modeling) to convert ambient visit transcripts into structured features. And provide insights into patient preferences in treatment pathway, communication, and modality, etc. - Identify Friction Points: Process qualitative dialogue to automatically detect unaddressed obstacles or early side-effect reports before they lead to treatment discontinuation. Lookalike Cohorts & Patient Treatment Planning - Lookalike Clustering Engine: Develop unsupervised segmentation models to cluster patients into "lookalike" cohorts based on baseline lab values, symptom profiles, and transcript-derived preferences. - Outcome & Trajectory Forecasting: Build predictive models that estimate symptom reduction, time-to-relief, and potential side-effect risks across alternative treatment branches (e.g., immediate HRT vs. conservative step-therapy). Causal Inference & Retention Analytics - Quasi-Experimentation on Care Protocols: Apply observational study methods (Propensity Score Matching, Difference-in-Differences, Survival Analysis) to evaluate non-randomized care pathways and quantify counterfactual patient outcomes. - Drop-Off & Retention Optimization: Identify critical clinical touchpoints and dosage adjustment milestones that drive long-term program adherence, connecting clinical milestone achievement directly to patient retention and LTV. Research & Cross-Functional Collaboration - Evidence Generation: Partner with the clinical research team to provide analytical support for peer-reviewed medical publications, white papers, and payer studies. - Clinical Operations Alignment: Translate analytical findings, treatment protocol insights, and patient drop-off trends into actionable workflow improvements for clinical operations and care teams. What You Bring Technical Skills - Programming & Querying: Advanced proficiency in SQL for data manipulation alongside strong Python skills for predictive modeling and data transformation. - Machine Learning & Modeling: Practical experience applying clustering (segmentation), regression/classification, and survival analysis (e.g., scikit-learn, statsmodels, lifelines). - NLP & Modern LLM Workflows: Hands-on experience with NLP techniques and LLM frameworks (e.g., transformers, Claude API, etc.) to parse, extract, and classify unstructured text data. - Causal Inference Fundamentals: Solid working knowledge of quasi-experimental design, propensity score matching, and counterfactual reasoning on observational datasets. Analytical Capabilities - Healthcare Data Intuition: Comfort working with messy, semi-structured, or missing healthcare datasets (lab results, Patient-Reported Outcome Measures/PROMs, EHR notes). - Pragmatic "0-to-1" Builder Mindset: You enjoy doing the foundational data architecture work—cleaning JSON outputs, structuring features, and validating baseline models—before reaching for complex algorithms. - Cross-Functional Communication: Ability to translate technical modeling outcomes into clear, intuitive insights for Clinical Operations and Product partners. Experience - 2 to 4 years of hands-on data science or analytics experience delivering high-impact solutions. - Experience working with healthcare, telehealth, digital health datasets. - Demonstrated track record of parsing unstructured text/transcript data into structured modeling pipelines. - Bachelor’s or Master’s degree in Biomedical Data Science, Health Informatics, Biostatistics, or a related quantitative field. Interview Process: Recruiter Screen- 30 mins Hiring Manager Screen- 30 mins Technical Screen- 1hr Panel Interviews- 3 hours + Lunch in Office in Palo Alto At this time, Midi is unable to provide visa sponsorship . Candidates must be authorized to work in the U.S. without current or future sponsorship needs. This is a full-time W2 position. The base salary range is 144K-172K and will depend on experience. Midi pays a competitive base salary, plus equity and benefits. While you’re waiting for us to review your portfolio, here’s some fun content to check out 🎥 https://www.youtube.com/watch?v=1px7i6MVjNg LI-PS1 At this time, Midi is unable to provide visa sponsorship. All Candidates must be authorized to work in the United States without current or future sponsorship needs. Please note that all official communication from Midi Health will come from an @joinmidi.com email address. We will never ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at careers@joinmidi.com . Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history. Please find our CCPA Privacy Notice for California Candidates here .
2027 Generative Media Research Intern
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company operates Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc. , a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji , Saturn, and other digital services. At Snap, we create new technology that inspires our Product and Design teams, and we partner with Engineering to help develop and deliver innovative new features and products. We explore opportunities for technology transfers and academic publications, and regularly publish in leading journals and conferences. We are especially interested in fostering ongoing collaborations and are open to projects that last beyond the internship. We strive to create an environment that is both productive and fun. We are looking for interns who are excited about pushing the state of the art technology and research in large generative models, GenAI efficiency, personalization, 3D & 4D generation and understanding, visual-language models, large scale data, and inference frameworks. At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office at least 80% of the time (an average of 4 days per week) What you'll do: Collaborate with world class researchers and engineers in your area of expertise Develop state of the art technology that will impact our products Work toward publishing and/or patenting your research Knowledge, Skills, & Abilities: Strong problem-solving skills Ability to thrive in a fast-paced, dynamic, and collaborative work environment Proven ability solving tough technical challenges Minimum Qualifications: Enrolled in a graduate program (PhD preferred) in a technical field, such as Computer Science, Graduating no sooner than May 2027 Experience conducting academic research and applying technical concepts to real-world problems Strong academic performance in technical coursework Clear vision for how research initiatives could contribute to future innovation at Snap Must be able to work in office for a 13-16 week internship in 2027 Preferred Qualifications: Strong publication records in world’s top venues in our field: CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, SIGGRAPH and similar venues. Previous experience with large generative models: large scale training and tuning, large scale data, large scale inference, model post-training, model efficiency. A passion for research and Snap Inc. products. "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable). Our Benefits : Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success! Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future. Zone A (CA, WA, NYC) : The base salary range for this position is $81,000-$121,000 annually. Zone B : The base salary range for this position is $77,000-$115,000 annually. Zone C : The base salary range for this position is $69,000-$103,000 annually. If you believe this job description is missing required pay transparency information, please submit a report through this form : Job Description Pay Range Disclosure .
Senior Software Engineer, Build Platform
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. As a Senior Software Engineer on the Build Platform team, you will build the cloud infrastructure that powers AI-driven creation on Roblox. Build lets anyone make a game by describing it, on mobile and in Studio. Creators can generate a playable experience from a sentence, iterate on it, playtest, and publish. Our team owns the platform underneath: the cloud-hosted agent harness, tools and skills, and evaluation framework. You'll work on the systems that make agents run well at scale: long-running workflow orchestration, model integration and routing, tool execution, sandboxed game sessions, evals, and the observability, safety, and cost controls that let us ship to millions of creators. You Will: - Design, build, and operate services in the agent platform, including orchestration, session management, model routing, and tool/skill execution. - Improve the reliability, latency, and cost of multi-step agent workflows running in production. - Build and extend evaluation infrastructure so teams can measure quality and catch regressions before they reach creators. - Partner with Build product teams, ML infrastructure, and Safety to ship new capabilities quickly and safely. - Participate in on-call and help raise the bar for operational excellence. - Write clear technical specs, review code, and mentor other engineers. You Have: - 5+ years of experience building and operating backend or distributed systems in production. - Proficiency in C#, Java, Go, or a similar language. - Experience with cloud infrastructure, containerized services, and workflow or job orchestration systems (e.g., Temporal, Kubernetes). - A track record of owning services end-to-end: design, launch, monitoring, and incident response. - A BS in Computer Science or a related field, or equivalent professional experience. You Are: - Curious about LLMs and agentic systems, and eager to work on how they behave in production. - Pragmatic. You ship iteratively and let data and evals guide decisions. - Experienced building on LLM APIs, agent frameworks, or eval pipelines (bonus). 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 $196,750 - $243,290 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.
Principal Software Engineer, Build Platform
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. As a Principal Software Engineer on the Build Platform team, you will set the technical direction for the infrastructure behind AI-powered creation on Roblox. Build lets anyone make a game by describing it, on mobile and in Studio. Our team owns the platform underneath: the cloud-hosted agent harness, tools and skills, and evaluation framework. You'll be the senior technical leader shaping its architecture. This role spans the full agent stack: orchestrating long-running, multi-step workflows; model integration and routing across providers; tool and skill execution; sandboxed game environments; evals at scale; and the reliability, safety, and cost systems that let us grow to millions of creators. You Have: - 8+ years of experience building and operating large-scale distributed systems, including technical leadership across multiple teams. - Deep experience designing backend platforms used by other engineering teams. - Hands-on experience with production AI/ML systems, such as model serving, orchestration, LLM integration, or agentic execution loops (planning, tool use, recovery, long-running workflows). - A strong understanding of tool and skill design and structured evaluation for AI systems. - The judgment to weigh tradeoffs and make pragmatic calls under ambiguity. - A BS in Computer Science or a related field, or equivalent professional experience. You Are: - Excited to define how AI agents create at scale, and to stay hands-on while doing it. - A clear communicator who can explain complex technical direction to engineers, product, and leadership. - Experienced with workflow engines (e.g., Temporal), multi-provider model routing, or AI cost management (bonus). You Will: - Own the technical architecture and long-term roadmap for the Build agent platform. - Design for reliability, safety, observability, and cost efficiency in production AI workloads, including usage metering and model-routing strategy. - Define how we measure agent quality and build the evaluation infrastructure that drives model, prompt, and skill decisions. - Partner with Build product teams, ML infrastructure, and Safety to ship new capabilities quickly and safely. - Raise the engineering bar through design reviews, mentorship, and hands-on technical leadership. 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 $345,040 - $399,420 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.
Solution Architect, Local Government AI
Do you want to support our global, mission-focused government clients as they embrace AI to improve government services and increase the health, well-being, and safety of their citizens? NVIDIA is building the world’s leading AI company, one customer success at a time. Our solutions architects are key partners for our business and product teams and trusted advisors to our clients, helping them translate mission-focused goals into active AI enabled plans and actions. Specifically, we are looking for technical teammates that can help our business team develop and deploy strategies and collateral to our field teams in region and also directly support us as we educate potential clients, assist with proofs of concept, productization of workflows, and advise on successful delivery of services and solutions through our ecosystem of partners. Our team interacts regularly with colleagues, partners and customers across our global footprint. NVIDIA supports a flexible work environment where you are empowered to manage your work-life balance. Occasional international travel may be required. What you will be doing: Empower and mentor partners, customers, and colleagues, sharing your expertise to help them grow and succeed. Play a key role in shaping and supporting strategic plans that drive innovation at national, regional, and city levels across diverse global communities. global region. Build engaging resources—such as presentations, blogs, and interactive notebooks—that connect business strategy with real-world government and community needs. Collaborate with customers’ technical teams, guiding and supporting them through hands-on field trials and solution deployments. Advocate for customer and partner needs by helping define product requirements and championing enhancements that remove barriers. Develop and demonstrate solutions based on NVIDIA’s groundbreaking AI software and hardware technologies to customers. What we need to see: Master's degree in Computer Science, Electrical/Computer Engineering, Applied Statistics, Physics, Mathematics, or other Engineering fields or equivalent experience. At least five years experience in technical consulting, software development, or equivalent. At least three of those years should include delivering Computer Vision, Deep Learning, or Generative AI computing solutions or infrastructure. Experience with at least one of the following: fine tuning or deploying computer vision models (CNNs, ViT, VLM, Gen AI); fine tuning and deploying large language models; deploying agentic and Generative AI based solutions. Hands-on experience with Python, PyTorch and containers. Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams). Effective verbal, written communications, and technical presentation skills including sharing your ideas/code clearly through blog posts and GitHub. Self-starter with a vision for growth, dedication to continuous learning and sharing findings across the team. Ways to stand out from the crowd: Prior work in government, AI startups, or working with digital twins. Development experience with Kubernetes, Helm or Slurm Experience with CICD and MLOPS technologies for building computer vision, NLP, Digital Twins or data analytics applications. Hands-on experience in creating solutions using NVIDIA software libraries and GPUs. Effective interpersonal and communications skills in additional languages and cultures, especially Spanish, Portuguese, French, German, Vietnamese, Thai, Bahasa, or Arabic. Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: Spain: 61,500 EUR – 106,600 EUR. Germany: 85,800 EUR – 148,720 EUR.
Senior Financial Analyst - AI Compute
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for a Senior Financial Analyst for our Cloud Finance division. The position is required to balance strategic analysis and insight generation while managing the methods we use to close, forecast, and analyze our expenses. This role will involve partnering with teams across the organization to drive progress towards scalable planning, reporting, and analytics. This is a highly visible role that will involve regular interaction with various business partners: engineering, procurement, finance, and other supporting teams across NVIDIA. A successful candidate will have shown experience in past roles supporting decision making in constantly evolving environments. The candidate must have the ability to incorporate new approaches and methodologies while dealing with complex data. What you'll be doing: Drive monthly financial close and forecasting activities, including annual planning Consolidate financial forecasts/data from various Cloud FP&A teams for management reporting Develop financial models and scenario analysis to determine strategic options (and trade-offs) of specific business models or capital investments Identify and drive cost saving or efficiency opportunities with engineering and GTM teams Communicate key insights from projects to Nvidia executives and internal partners Evolve existing processes and drive automation via new tool development Analyze large data sets to identify and operationalize new business metrics around Cloud and AI products What we need to see: Bachelor’s degree or equivalent experience 8+ years of experience in finance, accounting, or other analytically focused positions at a reputable, fast-growing technology company is preferred 3+ years of experience in public cloud services and platforms Excellent financial analysis and modeling skills, highly adept with Excel and other productivity tools (SharePoint, Google Docs, PowerPoint, etc.) Strong analytical and problem-solving skills with a high degree of attention to detail Ability to incorporate new approaches and methodologies while dealing with complex data Ability to work and stay organized in a fast-paced, constantly evolving environment Establish credibility and trust with key leaders in finance, engineering, procurement, and governance Ways to stand out from the crowd: Prior experience with a reputable, fast-growing technology company (industry experience) Demonstrate the ability to build trust and exert influence with key partners Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 128,000 USD – 201,250 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 10, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior AI Video Architecture Engineer
NVIDIA video team is located in Shanghai, focuses on algorithm, architecture and HW design of video/CV solutions in all NVIDIA products, including datacenter, desktop, automotive, embedded system, etc. More than 80% of global internet traffic is video stream and it’s still growing, there’s a strong demand for reducing video bandwidth and increasing video quality. We are looking for architecture engineers to address this problem in a DL based approach. What you’ll be doing: Develop DL based solutions for video pre/post-processing, compression, etc. Including algorithm study, implementation, performance tuning, and productization. Study new video compression/computer vision technology, specifications, papers, etc. Define the chip architecture of NVIDIA's next-generation video/CV solution, collaborate with ASIC team to deliver HW design. What we need to see: Master Degree or above in Compute Science or Electronic Engineering Minimum of 2+ years’ experience in deep learning or video codec projects. Experience with deep learning training frameworks such as Tensorflow, Pytorch, Caffe. Good programming skill and C/C++ or python coding abilities. Fluent English and good communication skill. Ways to stand out from the crowd: Project experiences on deep learning-based video pre/post processing, compression. Experience with video codec such as H264/AVC, HEVC, VP9, AV1, AV2 or VVC. Experience with coding agents, such as Cursor, Codex, and Claude code. Background with computer vision projects such as optical flow, stereo, super-resolution, frame rate up-conversion, etc. Experience with CUDA.
Senior Accelerated Computing GPU Product Manager
NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people! Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world! NVIDIA's Accelerated Computing team sits is a driving force behind the explosion of Machine Learning, Artificial Intelligence and High-Performance Computing. We are looking for a highly capable individual with a consistent track record in technology and the skills for GPU product definition for Data Center. We are a small, dynamic, and motivated team that defines the next generation of products for these high growth markets. What you'll be doing: Develop a deep understanding of datacenter workloads and applications, especially around Large Language Models, for training and inference Find opportunities where we uniquely can address customer needs, and translate these into compelling GPU value proposition and product proposals Work cross functionally with our partners, engineering, operations & field teams to develop comprehensive product go to market plans and product positioning Work with our sales organization to develop effective sales collateral and tools What we need to see: 12+ years of total experience in technology with previous product management, AI related engineering, design or development experience highly valued BS or MS or equivalent experience in engineering, computer science, or another technical field. MBA a plus. Demonstrated ability to fully contribute in one or more of the areas above within 3 months Knowledge of, and capable of explaining GPU, software and computing architectures Strong desire to learn, motivated to tackle complex problems and the ability to make sophisticated trade-offs Ways to stand out from the crowd: Direct experience in developing or deploying large scale GPU based AI applications, like Large Language Model, for training and inference Strong background in building or leading cloud computing infrastructure and technologies Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 208,000 USD – 327,750 USD for Level 5; and 240,000 USD – 379,500 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
PhD Research Intern, Efficient Deep Learning - 202...
NVIDIA is searching for an outstanding PhD intern working on efficient deep learning to join the Deep Learning Efficiency Research (DLER) team. We are passionate about research that pushes boundaries but also has impact in the real world. The team has two core focuses: (1) efficient diffusion language models and multimodal generative models, and (2) efficient agentic AI with hybrid inference orchestration across cloud and edge. We are also excited about post-training model optimization (pruning, quantization, NAS), efficient architecture design, adaptive/dynamic inference, and resource-efficient training and finetuning. You will work within an amazing and collaborative research team that consistently publishes at the top venues in computer vision and machine learning. Our existing expertise includes computer vision, deep learning, generative models, diffusion LLMs, multimodal models, and hybrid cloud–edge agentic systems. Your contributions have the chance to create real impact on our products. What you'll be doing: Research, design, and implement novel methods for efficient deep learning in one or both of the team’s focus areas: Diffusion LLMs and multimodal models — sampling efficiency, adaptive unmasking, self-speculation / parallel decoding, training and distillation pipelines, and multimodal generation. Efficient agentic AI — hybrid inference orchestration across cloud and edge, routing and scheduling policies, on-device vs. cloud expert delegation, and resource-aware agent loops. Publish original research. Collaborate with other team members and teams. Work with product groups to transfer technology. Collaborate with external researchers. What we need to see: Pursuing a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc. Excellent knowledge of theory and practice of machine learning and deep learning. Experience with large language models, diffusion language models, multimodal / vision-language models, or agentic systems is required. Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required. Outstanding research track record with at least one top-tier conference (ICML, ICLR, NeurIPS, CVPR, ICCV, etc.). Excellent communication skills. Ways to stand out from the crowd: Parallel programming (e.g., CUDA). Interest or experience in hybrid cloud–edge inference, orchestration, or adaptive routing. Background in pruning, quantization, NAS, or efficient backbones. NVIDIA is widely considered to be one of the technology world’s most desirable employers with competitive salaries and a generous benefits package, we have some of the most forward-thinking and hardworking people in the world working for us. And, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for computer architecture and technology, we want to hear from you! Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rates for this position are: US, CA, Santa Clara: 38 USD – 94 USD. US, CA, Remote: 30 USD – 94 USD. You will also be eligible for Intern benefits . Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Accelerated Computing GPU Product Manager
NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people! Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world! What you'll be doing: NVIDIA's Accelerated Computing team sits is a driving force behind the explosion of Machine Learning, Artificial Intelligence and High-Performance Computing. We are looking for a highly capable individual with a consistent track record in technology and the skills for GPU product definition for Data Center. We are a small, dynamic, and motivated team that defines the next generation of products for these high growth markets. Develop a deep understanding of datacenter workloads and applications, especially around Large Language Models, for training and inference Find opportunities where we uniquely can address customer needs, and translate these into compelling GPU value proposition and product proposals Work cross functionally with our partners, engineering, operations & field teams to develop comprehensive product go to market plans and product positioning Work with our sales organization to develop effective sales collateral and tools What we need to see: 7+ years of total experience in technology with previous product management, AI related engineering, design or development experience highly valued BS or MS or equivalent experience in engineering, computer science, or another technical field. MBA a plus. Demonstrated ability to fully contribute in one or more of the areas above within 3 months Knowledge of, and capable of explaining GPU, software and computing architectures Strong desire to learn, motivated to tackle complex problems and the ability to make sophisticated trade-offs Ability to work closely with cloud partners Ways to stand out from the crowd: Strong background in developing or deploying large scale GPU based AI applications, like Large Language Model, for training and inference Direct experience in building or leading cloud computing infrastructure and technologies Exposure to bringing accelerated computing systems to market Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 168,000 USD – 258,750 USD for Level 4; and 208,000 USD – 327,750 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Machine Learning Infrastructure Engineer, M...
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. Matchmaking is a critical stage downstream of Discovery and Search. Once a player chooses a game to play, matchmaking assigns them to a server for that game. That decision shapes who they play with, the network latency they experience, and the quality of their session. By matching players to servers that fit their needs and each developer’s game, matchmaking helps turn discovery into satisfying play, repeat visits, and long-term engagement, making it a direct lever for Roblox’s growth. As a Senior Machine Learning Infrastructure Engineer, you’ll build scalable, reliable, and high-performance infrastructure that powers ML systems across our organization. You’ll operate at the scales of tens of billions of scorings, and redefine how we match hundreds of millions of users to millions of games. You will: - Work at the intersection of model architecture and ML infrastructure, partnering closely with core modelers, data and AI infrastructure engineers, and product teams to push the boundaries of large-scale training and serving. - Design and own large-scale data engineering and streaming systems that power ML, including real-time event ingestion, streaming feature computation, training-data generation, and data quality and freshness guarantees. This includes building low-latency pipelines with technologies such as Kafka, Flink, Spark Structured Streaming, and Ray, and keeping online and offline features consistent. - Build online and continual learning systems that let models adapt to user behavior and content shifts in near real time. This includes incremental and streaming training, online model updates and fast model refresh, embedding and parameter-server synchronization, delayed-feedback and label-joining pipelines, and safe deployment through monitoring, drift detection, and automated rollback. - Investigate model, data, and systems tradeoffs end to end, from streaming data pipelines and distributed training to low-latency inference and production serving. This includes designing efficient cache strategies, applying pruning and quantization, optimizing GPU utilization and memory efficiency, and developing custom kernels where needed. - Own the architecture, establish engineering best practices of scalability, reliability, and cost-effectiveness of ML infrastructure (e.g., training, serving, feature). You have deep production experience with low-latency key-value stores and feature registries like Redis, Feast, Tecton, or Cassandra. - Work closely with data scientists, ML engineers, platform teams, and product stakeholders to design, implement, and operate robust ML platforms that accelerate model development and deployment. - Stay abreast of industry trends in machine learning and infrastructure to ensure the adoption of leading-edge technologies and practices. You have: - 5+ years of experience designing, building, and deploying large-scale machine learning and data systems in production environments. - 3+ years of experience tech-leading ML infrastructure or data engineering teams. - Hands-on experience with large-scale streaming and data processing systems (e.g., Kafka, Flink, Spark, Beam) and real-time feature pipelines. - Experience building or operating online, incremental, or continual learning systems for recommendation, ranking, or search is a strong plus. - Strong communication skills and a collaborative approach to problem solving. - BS, MS, or Ph.D. in Computer Science, Engineering, or equivalent experience. 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 $243,290 - $295,250 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.
Principal Machine Learning Engineer - Matchmaking
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. Matchmaking is a critical stage downstream of Discovery and Search. Once a player chooses a game to play, matchmaking assigns them to a server for that game. That decision shapes who they play with, the network latency they experience, and the quality of their session. By matching players to servers that fit their needs and each developer’s game, matchmaking helps turn discovery into satisfying play, repeat visits, and long-term engagement, making it a direct lever for Roblox’s growth. As a Principal ML Engineer on Matchmaking, you’ll own the technical vision and execution for the models, objective functions, and algorithms that make those decisions. You’ll combine predictions of high-value player actions with optimization of player and developer utility and system efficiency, serving millions of players across hundreds of thousands of servers in global datacenters. You Will: - Own the technical direction and ML strategy for matchmaking, connecting the Discovery and Search journey to server placements that improve player experience, developer success, and Roblox growth. - Define and evolve the matchmaking objective function to balance player and developer utility with system efficiency. Make tradeoffs among co-player compatibility, network and join latency, engagement, retention, server utilization, and compute cost explicit and measurable. - Build models that predict high-value actions and longer-term outcomes for each player–server match, including co-play, chat engagement, sustained play, and return visits, using player history, game characteristics, and live server state. - Design and productionize candidate-server retrieval, ranking, and assignment algorithms that optimize this objective under real-time latency, capacity, and reliability constraints, accounting for both the joining player and players already in the server. - Lead other engineers by example and through technical direction as an individual contributor, mentor engineers, and create an engineering culture of excellence. - Build and evolve the data, feature, training, serving, and evaluation systems that support matchmaking ML, ensuring fresh signals, reliable predictions, and consistency between training and serving. - Partner with Discovery, Search, developer-facing product teams, modelers, and data and AI infrastructure engineers to co-design models and systems that adapt to each game’s needs and deliver value across the player journey. - Define offline evaluation and lead online experiments to measure the impact of matchmaking decisions on player engagement and retention, developer success, and system efficiency, using the results to improve models and objectives. - Translate research into iterative production improvements, collaborate with the wider ML community where applicable, and represent Roblox’s technical work. You Have: - 8+ years of experience and a consistent record of delivering and improving large-scale ML systems for ranking, recommendation, personalization, or resource allocation. - Experience defining objective functions, building predictive models, and deploying optimization algorithms that balance user and business outcomes with production latency, reliability, and resource constraints. - The capability of breaking down long-term product requirements into iterative deliverable stages. - Initiated and facilitated challenging technical decisions across multiple teams and organizations. You are empathetic and find common understanding. - Deep technical expertise, you always start with the needs of the user, whether they are Roblox users or internal engineers. - A generalist approach and you have mastered several languages and technologies already; you can easily adapt to any situation. - The ability to roll up your sleeves to tackle data problems or machine learning problems when they come up. - A creative and strategic approach to solving hard problems. You simplify the complex. You bring in fresh ideas from new places. - BS in Computer Science or a related discipline, MS/PhD are a definite plus. 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 $295,250 - $345,040 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.
Senior Physical AI Data Engineer
NVIDIA is building the next generation of AI and advanced data technologies for Physical AI. Our MLOps Ground Truth (GT) team develops large-scale data infrastructure, tooling, AI-based GT generation systems, DNN auto labeling, VLM labeling, and agentic workflows for global automotive and robotics partners. We are looking for a Senior Physical AI Data Engineer to architect, build, and scale this global data ecosystem. In this role, you will drive the development of large scale automated labeling systems, and LLM- and agent-powered workflows that transform multimodal sensor data into high-quality datasets for model training and validation. You will collaborate closely with human operations and research teams to deliver reliable, scalable and ultra high quality GT data for autonomous driving and robotics. What You’ll Be Doing Develop and productionize AI-powered auto-labeling workflows using computer vision models, vision-language models, and AI agents, integrating human review where needed. Design and implement MLOps capabilities for reproducible training and inference, model and dataset versioning, evaluation, deployment, and lifecycle management. Build observability and data quality frameworks covering pipeline health, job execution, labeling quality, data lineage, and GT release readiness. Optimize distributed processing and GPU inference workloads to improve throughput, resource utilization, cost efficiency, and release turnaround time. Drive technical decisions and cross-functional execution with perception, autolabeling modeling, data operations, and partner-facing teams to translate requirements into production solutions. Establish engineering best practices while leading complex technical initiatives. What We Need to See BS, MS, or PhD in Computer Science, Software Engineering, Data Engineering, or a related field, or equivalent practical experience. 8+ years of relevant industry experience building production data infrastructure, MLOps platforms, or large-scale machine learning systems. Strong programming skills in Python and C++, with experience designing maintainable, well-tested software and troubleshooting complex production systems. A solid understanding of computer vision, machine learning, VLMs, and AI agent development, including evaluation and production integration. Experience building reliable data pipelines with data validation, versioning, lineage, and monitoring. Demonstrated ability to independently lead complex projects, make sound architectural decisions, and deliver measurable improvements in scalability, reliability, or performance. Strong communication and collaboration skills, with the ability to work effectively across global, multidisciplinary teams. Ways to Stand Out from the Crowd Experience with Physical AI, autonomous driving, or robotics data platforms, particularly multimodal sensor processing and GT generation. Hands-on experience developing and evaluating AI agents for auto-labeling, quality assurance, or workflow automation. Experience with vision-language models, multimodal foundation models, or model-assisted annotation workflows. Experience delivering multi-region data platforms with access controls, data governance, and regional data-handling requirements. Fluent English communication and writing skills. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward‑thinking and hardworking people in the world working for us. If you’re passionate about AI, data, defining what the model can and cannot learn, and enabling world‑class AI models with high‑quality data, we want to hear from you!
PhD Research Intern, Robotic Perception and Learni...
The Robotic Visual Perception and Learning research group, part of NVIDIA’s Learning and Perception Group Research is looking for highly motivated PhD students for research internships. We are passionate about research that pushes boundaries, but also has impact in the real world. Our interns regularly publish their internship works in top-tier conferences in computer vision, robotics and machine learning. We have many experienced mentors in the team and our interns often choose to return for another internship. We carefully craft internship projects such that they match the interns' expertise. What you'll be doing: Reproduce existing state-of-the-art computer vision methods Research, design, and implement novel deep learning algorithms to push the state of the art in computer vision, robotics, and control Publish original research Collaborate with other team members, research teams, and product teams Transfer technology to product groups What we need to see: Pursuing a Ph.D. in Computer Science/Engineering, Electrical Engineering, Robotics or related field. Excellent knowledge of theory and practice of computer vision methods, deep learning, robotics, and/or control. Expertise in one or more of the following areas: 3D computer vision, reinforcement learning, real-to-sim-to-real, tactile sensing, or robotic manipulation. Excellent programming skills in some rapid prototyping environment such as Python (C++ and/or CUDA is a plus). Knowledge of common machine learning frameworks, such as PyTorch. Proven track record of publication in top-tier conferences. Excellent communications and analytical skills. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. If you're creative and autonomous, we want to hear from you! With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our best-in-class research teams are rapidly growing. Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rates for this position are: US, WA, Redmond: 30 USD – 94 USD. US, CA, Santa Clara: 38 USD – 94 USD. US, WA, Seattle: 30 USD – 94 USD. You will also be eligible for Intern benefits . Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Machine Learning Engineer, Data Curation - Autonom...
We are looking for a Machine Learning Engineer for our Autonomous Vehicles Data Curation team. The role involves applying state-of-the-art techniques to search, curate, and evaluate high-quality datasets and ground truth for autonomous vehicles, a critical aspect of our next-generation products. You will have the opportunity to work with top researchers and engineers in the field of deep learning and computer vision to deliver impact to our customers around the world. Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. The era of AI has begun. NVIDIA's GPUs run Deep Learning algorithms, simulating human intelligence, and act as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and AI come together in our architecture. NVIDIA GPUs are used broadly for Deep Learning, and NVIDIA is increasingly known as “the AI company”. Make your choice to join us today. We are training Deep Neural Networks and developing data search and curation capabilities for NVIDIA's Autonomous Vehicles effort, with the goal to enable autonomous driving. We are seeking Deep Learning/Machine Learning engineers who are passionate about building the datasets and tools that support perception, prediction, planning and control for self-driving cars to achieve full autonomy. Are you interested in applying AI to discover and understand challenging driving scenarios at scale? If so, join us! What you'll be doing: Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas. Foster collaborative partnerships with our researchers and engineers, transforming innovative research into robust, industrial-strength machine learning models. Taking approaches from initial evaluation and experimentation all the way to shipping. Defining, collecting, and curating training and evaluation datasets, with a focus on scenario coverage and label quality. Developing vision-language models and embeddings for scenario search, classification, and automated data curation. Building training pipelines and scalable inference systems (PyTorch, TensorFlow, TensorRT, Python, C++). What we need to see: PhD with 1+ year, or MS (or equivalent experience) with 5+ years, of relevant experience in Computer Science, Computer Engineering, or a related technical field. Proven experience building robust software. Passionate about Artificial Intelligence for robotics and autonomous navigation Strive to learn new things and like solving hard problems Math knowledge Experience in Deep Learning / Machine Learning. You have a background in Computer Vision and/or multimodal learning. Programming and debugging skills in C++ and/or Python. Good communication and analytical skills. Ability to work with multiple teams in a dynamic environment. Ways to stand out from the crowd: Background in applying latest AI methods to solve Computer Vision and Autonomous Vehicles problems Experience with Unsupervised or Self-supervised Learning and contrastive representation learning. Experience with vision-language models, agentic search, or automated dataset quality evaluation. We believe that realizing self-driving cars will be a defining contribution of our generation. We have the funding and scale, but we need your help. NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you. #AutonomousVehicles Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 11, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Software Engineer, Content Understanding
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. As a Senior Software Engineer within the Creator Organization, you will develop innovative full-stack solutions that define the future of Roblox’s Content Understanding Platform. This platform processes billions of pieces of content—spanning 3D models, audio files, text, video, and entire experiences—extracting structured information about their meaning, context, and relationships. The Content Understanding Team uses cutting-edge ML/AI models and highly scalable backend platforms to generate meta-data that in turn supports power search, discovery, and moderation across Roblox. Your contributions will enable seamless asset discovery, automate moderation at scale, and drive transformative generative AI tools that reshape how millions of creators and users engage with Roblox. You Will: - Solve full-stack challenges to improve how AI, creators, and users describe and get along with content, including images, 3D models, audio, text, and video. - Craft and build scalable pipelines for evaluating, and deploying machine learning models to support content annotation and discovery. - Develop robust backend systems to power real-time search, discovery, and powerful generative AI features. - Blend innovation with practicality, applying the latest AI research to build impactful, production-ready solutions. - Collaborate with engineers, product managers, and multi-functional teams to deliver bold technical projects. You Have: - 6+ years of strong programming skills in at least two languages (Python, C#, C++, Java) and a willingness to learn others as needed. - Exposure to front end technologies and frameworks such as React or Angular. - Practical experience crafting and scaling backend systems in cloud environments. - Confirmed expertise across the stack, including backend development to deploying ML models in production environments. - Familiarity with image or 3D object understanding, ideally within gaming or content creation industries. - A “get stuff done” mentality with a readiness to solve challenges and take on tasks beyond your comfort zone to get results. - A great foundation in computer vision, AI, or related fields. You Are - Experience with large-scale search systems, generative AI, or semantic content understanding. - Experience with modern deep learning frameworks (e.g., PyTorch, TensorFlow) and end-to-end ML workflows. - Knowledge of 3D geometry or asset workflows. 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 $196,750 - $278,530 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.
Senior Software Engineer- User Behavior
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 User Behavior? You will build the backend systems that fundamentally shift how Roblox responds to unsafe behavior - from reactive, stateless punishment to a personalized, adaptive system that reflects who a user actually is. You will own core backend infrastructure for a new capability at Roblox: a low-latency behavioral data layer, a centralized rules-and-inference engine, and a unified intervention-delivery framework that together let us treat users based on their real risk profile instead of a single point total. This is a rare opportunity to build foundational, high-scale systems that directly shape how Roblox understands and responds to risk across hundreds of millions of users. You will feel a deep sense of responsibility building systems that directly affect millions of users, especially minors, on one of the world's largest platforms. Your work will reduce harm, improve fairness, and help ensure Roblox remains a place where creativity and community can thrive safely. You will: - Build the User Behavior Foundation: Design and operate the low-latency, per-user behavioral data layer that powers real-time safety decisions - aggregating signals like violation history, in-game reports, and behavioral patterns into a single queryable source of truth. - Own the Consequence Engine: Build and evolve the centralized decision engine that combines deterministic rules with ML risk signals into a single, consistent safety decision the authoritative system every consequence flows through. - Own the Feature Restriction Platform: Build a unified, backend-driven framework for delivering safety interventions that any product team can plug into, replacing today's fragmented, feature-specific implementations. - Unify Abuse Reporting: Build the backend that consolidates reporting channels into a single, scalable framework - integrating LLM-based classification, agentic review workflows, and ML models to improve report routing, prioritization, and reporter feedback while meeting global regulatory requirements. - Design for trust and auditability: Build serving infrastructure that meets a high bar for explainability and fairness, since these systems directly determine consequences for millions of users. - Ship code, not just designs: Own end-to-end delivery - from system design through migration, testing, and production operation. You have: - 5+ years of experience building and operating production backend systems at scale, ideally in Go or a comparable statically-typed backend language. - Strong experience designing distributed systems: service APIs (RPC/gRPC), data modeling for high-throughput event ingestion, caching, and low-latency read paths. - Experience building and evolving rules engines, workflow/decision systems, or similarly stateful business-logic services. - Experience with streaming or batch data pipelines feeding a feature store or similar ingestion layer, and comfort partnering with ML engineers who consume that data. - Solid production operations fundamentals: monitoring, alerting, oncall, capacity planning, and incident response for systems with real user-facing impact. - Nice to have: experience in Trust & Safety, fraud, risk, or other adversarial domains; experience with feature stores or ML-serving infrastructure; experience building frontend-agnostic, backend-driven UI frameworks (e.g. server-driven intervention/notification rendering). You are: - A Systems Thinker: capable of designing infrastructure that other teams (ML, feature teams, policy) build on top of, not just point solutions. - A Pragmatic Builder: scrappy and impact-oriented, comfortable turning scattered, undocumented signals and legacy code paths into clean, well-owned services. - Comfortable with Ambiguity: this space is actively being redefined — you'll help set the standard, not just implement one handed to you. - A Reliability-Minded Engineer: you treat testing, migrations, and oncall as first-class parts of the job, not afterthoughts. - Committed to Ethical, Responsible Engineering: dedicated to building systems that are fair, auditable, and operate with the utmost responsibility toward user safety. 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 $196,750 - $243,290 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.
Senior Developer Relations Manager, Retail and CPG...
We are seeking a highly technical and strategic Senior Developer Relations Manager to join our team, with a focus on engaging developer ecosystems across emerging technology domains. In this pivotal role, you will work directly with software solution providers, developers, and industry professionals to champion the adoption of NVIDIA’s advanced AI and computing platforms. The ideal candidate brings a blend of deep technical expertise combined with a passion for developer advocacy and a talent for communicating how NVIDIA technology can solve complex, real-world challenges. What You'll Be Doing: Develop and maintain extensive technical knowledge in Retail & CPG intelligent stores and Physical AI. Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in Retail & CPG, with multi-functional partners to drive adoption of NVIDIA technologies. Accelerate critical workloads by demonstrating and integrating the NVIDIA software stack (tools, libraries, SDKs, NIMs, and blueprints) into partner products, platforms, and pipelines. Guide partners through onboarding and integration by providing technical resources—such as sample code, guides, and demo pipelines to accelerate Retail & CPG intelligent-store and Physical AI adoption and develop co-innovation of next-generation solutions. Assess the developer ecosystem to identify emerging opportunities and adoption trends. Partner with engineering, product management, and marketing to influence roadmaps and accelerate partner adoption. Collaborate with partner technical leaders to accelerate integrations and solve complex technical challenges. Drive adoption, uncover new workflows, and translate field insights into actionable feedback for NVIDIA product teams. Drive technical adoption of NVIDIA Metropolis, DeepStream, TAO, Triton/NIM, and vision-language models for intelligent-store applications. Enable use cases across shelf availability, product recognition, checkout, loss prevention, customer flow, and store operations while addressing accuracy, latency, privacy, and deployment constraints. Accelerate Physical AI adoption using NVIDIA Omniverse, OpenUSD, Isaac, Cosmos, and simulation and synthetic-data workflows. Enable store and warehouse robotics, autonomous systems, and digital twins by connecting perception, simulation, and real-world actions across GPU and edge platforms such as Jetson Create and maintain open-source reference implementations, blueprints, and benchmarks. Demonstrate measurable technical and economic value at GTC, NRF, and ecosystem events through performance, deployment efficiency, developer adoption, partner integrations, and production readiness. What We Need to See: Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, or a related field. A minimum of 12+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, solutions architect, product management, including 5+ years of direct hands-on experience in computer vision, video AI, robotics, or Physical AI, ideally applied to Retail & CPG environments. Proven experience leading, partnering, scaling developer programs at major technology companies, and Retail & CPG, computer vision, or robotics ISVs, or within relevant verticals. Significant technical depth in computer vision and Physical AI software including video analytics, multimodal/VLM approaches, robotics, simulation and synthetic data, digital twins, and GPU-accelerated edge-to-cloud inference, and contributions to product integrations and software libraries. Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external collaborators (across sales, legal, product or marketing teams as needed). Skilled at distilling complex technical concepts for audiences from engineers to executives, with end-to-end experience in defining, integrating, building, and jointly marketing solutions with strategic ISV partners. Ways to Stand Out from the Crowd: Hands-on experience building or optimizing Retail & CPG solutions (e.g., loss prevention, shelf intelligence, checkout, store robotics, or production vision systems). Familiarity with advanced computing, AI, and/or GPU acceleration platforms (e.g., CUDA, Metropolis, DeepStream, TensorRT, Triton, NIM, NeMo, Jetson, Omniverse, Isaac). Successful history of building and scaling developer communities and delivering impactful technical enablement programs. Expertise in building frameworks to capture developer sentiment and market shifts, translating real-time ecosystem dynamics into actionable intelligence for industry strategy and product rationalization across Retail & CPG and Physical AI. Experience with vision-language-action systems, agentic AI, or Cosmos world foundation models, coordinating computer vision perception with robotic planning and execution. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our Dev Rel teams are growing fast. If you're a creative and autonomous professional with a genuine passion for technology, we want to hear from you! Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 224,000 USD – 356,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 9, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
MLOps Physical AI Data Intern - 2027
NVIDIA is building the next generation of AI and advanced data technologies for Physical AI. Our MLOps GT team designs large-scale data infrastructure, LLM models and agents powering Ground Truth (GT) generation, and end-to-end AI workflows for global automotive and robotic partners. We're looking for a motivated MLOps Physical AI Data Intern to help build, scale, and optimize this global data ecosystem while driving strong collaboration across engineering, operations, and research teams. What You’ll Be Doing: Contribute to the development of distributed data pipelines supporting large-scale GT generation and global data distribution. Support the integration of international datasets (vision, LiDAR, map, and sensor) for multi-region model development and validation. Develop GT auto labeling, LLM models, and a variety of AI Agents for the global GT generation. Help design tools for monitoring data quality, job status, and progress tracking within the global GT release pipeline. Participate in continuous improvement initiatives for platform scalability, performance tuning, and workflow automation. What We Need to See: Currently pursuing a BS, MS, or PhD in Computer Science, Software Engineering, Data Engineering, or a related field. Solid programming experience with Python and C++. Good understanding of computer vision, AI agent development, LLM and machine. Analytical and problem-solving abilities, with an interest in large-scale AI data ecosystems. Good communication and teamwork skills, especially for collaboration across global and multi-disciplinary teams. Ways to Stand Out from the crowd: Proficient in developing AI agents. Experience in Physical AI data engineering, or MLOps. Prior exposure to autonomous driving data, computer vision, or machine learning pipelines. Hands-on experience with Physical AI modeling, GT data processing. At NVIDIA, interns are integral to real-world projects that push the boundaries of Physical AI. You’ll gain hands-on experience in global-scale data operations, work with exceptional engineers, scientists, and play a role in enabling next-generation autonomous driving systems across the world.
Senior Vision Language Model Engineer
NVIDIA is the platform upon which every new AI-powered application is built. We are seeking a senior vision language model engineer to design and build agentic data and training workflows for Autonomous Vehicles, Robotics, and Medical applications. The right person for this role brings technical innovation and collaborative culture to change the way NVIDIA builds dataset search platforms for physical AI developers. Our dataset search offerings are ease to use, performant and scalable. Your work will redefine the dataset search and model training capabilities in NVIDIA product offerings and impact the most iconic companies in Physical AI. What you'll be doing: Partner with our researchers to develop and evaluate prototypes of our latest models, such as VLMs and VLAs, for video search, video understanding, and more. Enable fundamental advances in autonomous driving, healthcare, and robotics. Design and implement agentic data workflows that automate data discovery, labeling, evaluation, and retraining to maximize development velocity. Build, curate, and maintain high‑quality multimodal datasets (e.g., video, sensor, language/action traces) tailored for end‑to‑end physical AI problems, such as autonomous driving. Explore and productize new data sources including simulation and synthetic data. Use agentic AI workflows across the full applied research lifecycle. Collaborate with research, model development, performance, and product teams. Contribute to NVIDIA Cosmos Dataset Search and other core NVIDIA platforms and products. What we need to see: PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field Strong background in modern deep learning, including transformer‑based architectures, video modeling, and multimodal VLM/VLA or foundation models. Excellent experience training and deploying deep learning models on real‑world datasets: data preprocessing, distributed training, evaluation, debugging, and iterative improvement. Excellent experience with python and at least one deep learning framework. Current with the latest research on image and video search in autonomous vehicles, healthcare, robotics, or related physical AI applications. Fluent with agentic AI workflows across the full applied research lifecycle, including prototyping novel algorithms and search pipelines, benchmarking, and integrating prototypes in production codebases. Clear and effective communication skills, with experience working well in a dynamic, product- and research-focused team. Ways to Stand Out from the Crowd: Strong track record publishing in top-tier conference such as CVPR, NeuRIPS, ICML, ECCV Patents in video retrieval or related field Strong coding architecture skills demonstrated through contributions to large internal or open-source projects. Experience in robotic systems such as autonomous vehicles or humanoid robotics. With competitive salaries and a generous benefits package ( www.nvidiabenefits.com ), we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you! Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 8, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Compiler Engineer, Agentic Compiler Systems
We are looking for an outstanding Senior Compiler Engineer to help build the next generation of intelligent compiler technologies for NVIDIA's accelerated computing stack. Our team works at the intersection of compilers, agentic systems, numerical correctness, and verification to create compiler systems that can reason about, generate, optimize, and validate code transformations across software and hardware boundaries. In this role, you will help design and build advanced compiler and verification systems that improve developer productivity, system performance, and confidence in correctness. This includes developing compiler-oriented agents and workflows, building numerical validation and verification infrastructure, and co-designing with NVIDIA's compiler, runtime, library, and hardware teams to bring new capabilities into production tools and products. What you'll be doing: Design, build, and optimize intelligent low-level compiler systems, including compiler-oriented agents, multi-step transformation workflows, tool use, memory, and orchestration. Develop systems that can reason about low-level IR, code generation, optimization passes, scheduling, numerical precision, and performance tradeoffs across GPU-centric workloads. Build the data, environments, verification, reward, and evaluation systems needed to continuously improve compiler quality, numerical correctness, robustness, and performance. Develop infrastructure for numerical validation, differential testing, regression detection, and correctness verification for generated or transformed code. Co-design compiler and verification workflows across NVIDIA's software stack, spanning models and inference, compiler pipelines, runtimes, libraries, kernels, and GPUs. Collaborate closely with internal compiler, CUDA, library, runtime, and hardware teams to integrate new compiler, agentic, and verification capabilities into NVIDIA products. Drive performance analysis and optimization for generated or transformed code, with a strong focus on correctness, scalability, and real-world deployment. What we need to see: Bachelor's degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related field, or equivalent experience; MS or PhD preferred. 5+ years of relevant industry or academic experience in compilers, AI systems, numerical computing, verification, high-performance computing, or related areas. Strong hands-on experience in compiler implementation, program analysis, code generation, optimization, low-level performance engineering, or correctness infrastructure. Experience in one or more of the following areas: agent systems, coding agents, compiler automation, numerical analysis, program verification, differential testing, or formal/semi-formal validation methods. Strong C/C++ and Python programming skills, with solid software engineering fundamentals; experience with Rust is a plus. Experience with GPU programming and performance optimization using CUDA or comparable accelerator platforms. Ability to work effectively across system boundaries, from model-driven workflows and compiler infrastructure to runtime and hardware-aware optimization. Ways to stand out from the crowd: Track record of building high-impact compiler infrastructure, coding agents, verification frameworks, correctness tooling, or developer tools. Deep expertise in low-level compiler stacks such as LLVM, MLIR, PTX, Triton, or other IR/codegen frameworks. Experience building or optimizing AI-assisted compilation, numerical validation systems, equivalence checking, autotuning, or compiler verification workflows. Deep expertise in GPU systems, numerical behavior, and performance optimization, demonstrated through benchmark results, deployed systems, publications, or widely used software. Publications or open-source leadership in compilers, numerical computing, verification, formal methods, agentic AI, high-performance computing, AI systems, or programming systems. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 152,000 USD – 241,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 7, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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