Openai jobs

Senior AI Engineer London (hybrid)

Senior AI Engineer IN - Bengaluru, India posted: Posted 17 Days Ago

Software Engineer, Fleet Management San Francisco, California, United States The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI's models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth. About the Role The Software Engineer, Operating Systems & Orchestration will focus on building systems to manage hardware, configurations, vendors, and the people interacting with our infrastructure. You will design and develop solutions that integrate individual nodes and servers into unified clusters, directly contributing to advancing AI research by streamlining the overall research user experience. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Design and build systems to manage both cloud and bare-metal fleets at scale. - Develop tools that integrate low-level hardware metrics with high-level job scheduling and cluster management algorithms. - Leverage LLMs to coordinate vendor operations and optimize infrastructure workflows. - Automate infrastructure processes, reducing repetitive toil and improving system reliability. - Collaborate with hardware, infrastructure, and research teams to ensure seamless integration across the stack. - Continuously improve tools, automation, processes, and documentation to enhance operational efficiency. You might thrive in this role if you:

Product Manager, Sensitive Deployments San Francisco, California, United States About the Team The Integrity team builds the systems OpenAI uses to understand, prevent, and respond to misuse across our products. We partner with Product, Policy, Safety Systems, User Operations, Security, Legal, Privacy, OpenAI for Government, and research teams to turn policy and threat models into product controls, review workflows, measurement systems, and enforcement paths. About the Role We are hiring a Product Manager to own Integrity's product strategy for sensitive deployments: contexts where model capability, customer or deployment setting, privacy constraints, and misuse potential make the operating bar unusually high. This includes government and other high stakes deployments, regulated or high-trust enterprise contexts, zero data retention and privacy-constrained environments, and agentic workflows where harm can unfold across many steps rather than a single prompt. The Sensitive Deployments PM will focus on high-consequence use cases relevant to government deployments and broader deployment-readiness questions for high-risk domains (e.g., healthcare), while building reusable Integrity capabilities for agentic detection and enforcements in these environments. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: - Own the roadmap for sensitive deployment Integrity controls and readiness criteria. - Define how we measure residual risk, decision quality, review quality, and mitigation effectiveness. - Build agentic investigation and context-assembly workflows for complex, multi-step misuse patterns. - Partner with Policy, Legal, Privacy, Safety Systems, User Ops, Government, and product teams to build shared capabilities. - Create launch and deployment playbooks for

Machine Learning Associate Advisor Hyderabad, India posted: Posted 14 Days Ago

Senior Counsel, Public Sector Washington, DC, Washington, District of Columbia, United States About the Role We're seeking a lawyer to support our growing OpenAI for Government business, including compliance and contracting issues related to our government business line. This role will support a wide range of issues relating to the sale of information technology services to governments, including matters related to facilities clearance and security compliance requirements, transactions and contract management, bid protests, contract performance, pre/post strategy, systems building, claims and disputes, compliance management, etc. This person needs to be a do-er who can jump between issues in a broad portfolio. Role and Responsibilities - This counsel will be dedicated to supporting legal issues related to our OpenAI for Government business line, supporting US federal, state and local government, and international sales. - Work collaboratively with subject matter experts across the legal team on cutting-edge issue relating to artificial intelligence products. - Scale legal support through innovative application of AI tools and other automation mechanisms. - Areas of responsibility will include: - Federal Acquisition Regulation (FAR) Compliance - Contract Review and Negotiation - Bid Protests and Claims Management - Ethics and Compliance tailored to federal contracting - Data Privacy and Security Compliance, including security requirements such as NIST 800-171, CMMC, or FISMA - Lobbying and government affairs restrictions - False Claims Act (FCA) Risk Management - Supply Chain Management and Flow-Down Requirements - Audits and Reporting Obligations Skills & Experience - 10+ years experience. - In-house experience at a technology

Procurement Enablement Lead San Francisco, California, United States About the Role We're looking for a Procurement Enablement Lead to improve how employees and stakeholders navigate procurement at OpenAI. This role partners across Procurement, Finance, Legal, Security, Privacy, and Enterprise Technology to simplify workflows, improve guidance, and support scalable procurement experiences across the procurement lifecycle. You'll translate procurement policies and operational requirements into clearer processes, better-enabled systems, and more intuitive employee experiences that reduce friction while strengthening consistency and controls as OpenAI continues to grow. This role is ideal for someone who combines operational judgment, process design, and strong cross-functional partnership skills. You should be comfortable working in evolving environments where systems and workflows are still being built and continuously improved. A key part of the role will be identifying opportunities to use AI and automation to streamline workflows, reduce manual work, and improve service delivery across Procurement operations. This role is based in San Francisco, CA. We use a hybrid work model of 3 days per week in the office and offer relocation assistance to new employees. In this role, you will: - Partner across Procurement, Finance, Legal, Security, Privacy, and Enterprise Technology to improve how procurement work gets requested, routed, approved, and supported across the spend lifecycle. - Help design and improve procurement intake, guidance, and workflow experiences that make it easier for employees and stakeholders to navigate procurement processes. - Translate procurement policies, operational needs, stakeholder feedback, and operational insights into clear business requirements for workflows, automation, reporting,

Machine Learning Engineer India - Hyderabad posted: Posted 30+ Days Ago

Senior Data Scientist / AI Machine Learning Research Engineer 3 Locations posted: Posted 30+ Days Ago

Senior Machine Learning Scientist IN - Bengaluru, India posted: Posted 30+ Days Ago

Platform Engineer, Forward Deployed Engineering (FDE) - NYC New York City, New York, United States About the team OpenAI's Forward Deployed Engineering (FDE) org sits at the intersection of product, engineering, research, and go-to-market. We take frontier platform capabilities into the real world with design partners, turning raw customer signal into shipped software, repeatable patterns, and durable products. The FDE Platform team is primarily a leverage function that scales the FDE org's impact to OpenAI's platform and products. We provide hands-on leverage by embedding with customer-tagged FDE pods to aid in architecting, product shaping, refactoring, and building. This team is perfect for highly collaborative software engineers who love innovating on cutting-edge products with other builders. About the role Platform Engineer is a role within Forward Deployed Engineering (FDE) for strong software and ML engineers who want to build new platform capabilities from scratch, grounded in real customer deployments. You will partner with customer-tagged FDEs who are driving delivery and customer outcomes, and embed where you can provide the highest leverage. In practice that means working in the trenches on architecture, product shaping, refactoring, hardening, and reusable abstractions, while preserving the pod's ownership of customer understanding and day-to-day execution. You will also collaborate closely with our B2B Platform Team and other long-term owners to align early on what should generalize, what should remain customer-specific, and what “ready for handoff” looks like. This role does not require travel. It is based in San Francisco or New York. We use a hybrid work

Principal Engineer - AI/ML - Computer Vision Bengaluru, India posted: Posted 30+ Days Ago

Senior Machine Learning Engineer 2 Locations posted: Posted 30+ Days Ago

Software Engineer, Infrastructure, Consumer Devices San Francisco, California, United States About the Role We are seeking a Cloud Infrastructure Engineer to help design and evolve the platforms that power OpenAI's products. In this role, you will be a hands-on technical leader, driving the architecture, scalability, reliability, and security of critical infrastructure systems. You will help define how we build and operate infrastructure at the next order of magnitude, while influencing technical direction across teams. This role is both deeply technical and highly strategic, requiring strong ownership, sound judgment, and the ability to partner effectively across engineering, product, and research organizations. In this role, you will: - Design and build scalable, reliable, and secure infrastructure platforms that power OpenAI products - Evolve cloud infrastructure abstractions that enable rapid product development across teams - Architect systems to support significant growth, performance, and operational complexity - Improve server orchestration, networking, distributed systems reliability, and infrastructure security posture - Influence technical direction and infrastructure strategy across multiple teams - Partner closely with product, research, and engineering teams to align infrastructure with evolving needs - Own operational excellence, including participation in on-call rotations, incident response, and production readiness - Mentor engineers and raise the overall technical bar of the organization - Contribute to a culture of high ownership, low ego, and thoughtful collaboration You might thrive in this role if you: - 8+ years of experience building and operating large-scale infrastructure systems - Deep expertise in Kubernetes and container orchestration at scale - Strong experience

AI Engineer Singapore posted: Posted 28 Days Ago

Platform Engineering Manager, Forward Deployed Engineering (FDE) San Francisco, California, United States About the team OpenAI's Forward Deployed Engineering (FDE) org sits at the intersection of product, engineering, research, and go-to-market. We take frontier platform capabilities into the real world with design partners, turning raw customer signal into shipped software, repeatable patterns, and durable products. The FDE Platform team is primarily a leverage function that scales the FDE org's impact to OpenAI's platform and products. We provide hands-on leverage by embedding with customer-tagged FDE pods to aid in architecting, product shaping, refactoring, and building. This team is perfect for highly collaborative software engineers who love innovating on cutting-edge products with other builders. About the role As the Engineering Manager for Platform FDE, you will lead a small team that acts as a multiplier for the broader FDE org. Your mandate is to increase the rate at which customer-grounded ideas become durable, generalizable platform bets, by providing hands-on product and engineering leverage to customer-tagged pods. You will partner with customer-tagged FDEs who are driving delivery and customer outcomes, and embed Platform FDE capacity where they can provide the highest leverage. In practice that means working in the trenches on architecture, product shaping, refactoring, hardening, and reusable abstractions, while preserving the pod's ownership of customer understanding and day-to-day execution. You will also collaborate closely with our B2B Platform Team and other long-term owners to align early on what should generalize, what should remain customer-specific, and what “ready for handoff” looks like. This

Quantitative UX Researcher San Francisco, California, United States About the team The UX Research team is a small team with outsized impact across OpenAI. We sit at the intersection of users, product, and safety-helping ensure that powerful AI systems are built responsibly and grounded in real human needs. Our work informs critical product decisions across OpenAI. We partner closely with product, design, engineering, and leadership to bring clarity to complex questions-often in fast-moving spaces where norms and best practices are still being defined. This role is based in San Francisco, CA. We operate on a hybrid model with 3 days in the office each week and offer relocation assistance. In this role, you will: - Design and execute quantitative research across the product lifecycle, from foundational understanding to concept validation, prototyping, and usability evaluation. - Partner with product managers, designers, engineers, and data scientists to identify high-impact opportunities where quantitative insights can meaningfully shape product decisions. - Lead rigorous, customized studies that answer both strategic and tactical questions, using methods such as surveys, experiments, and behavioral data analysis. - Translate complex data into clear, actionable recommendations that drive alignment and decision-making across teams. - Apply strong survey methodology and statistical rigor to ensure findings are valid, reliable, and decision-ready. - Influence product direction through close cross-functional collaboration and clear, audience-appropriate storytelling. You might thrive in this role if you have: - 5+ years of experience working in user experience research, market research, data science, and/or a related field with a

Quality Engineer - Rack Infrastructure & Site Operations - Stargate San Francisco, California, United States About the Team OpenAI, in partnership with our capital and technology partners, is building a global network of advanced datacenters to support the most demanding AI workloads. The Industrial Compute team ensures that all datacenter systems are manufactured, delivered, and commissioned to the highest standards of quality, reliability, and performance. We work closely with manufacturing partners, engineering teams, and operations staff to ensure that every component is delivered ready for installation, startup, and long-term service. About the Role We are seeking an experienced Quality Engineer (QE) to drive Product and Site Quality initiatives across OpenAI's infrastructure ecosystem. In this role, you will establish, implement, and manage a comprehensive, quality-focused program across our global supply chain network, ensuring excellence from design through deployment. You will be responsible for end-to-end quality of finished products, as well as maintaining and elevating manufacturing site quality standards. Working cross-functionally with Design (NPI) and Engineering teams, you will help achieve First Pass Yield (FPY), quality, and reliability targets. This includes leading site and fixture validation efforts, driving yield improvement initiatives (Yield Bridge, CPI), and implementing robust corrective and preventive actions (CAPA) to resolve issues at their root cause. In addition, you will play a key role in supplier quality management, assessing and qualifying new vendors, overseeing ongoing supplier performance, and ensuring readiness for future business awards. You will lead vendor audits, monitor key performance metrics, and coordinate corrective actions to ensure

M&A Integration San Francisco, California, United States About the Team The Corporate Development team sits at the intersection of OpenAI's strategy and the global AI ecosystem. Partnering closely with research, engineering, product, GTM and business leaders, we analyze markets, technologies, and companies to identify opportunities that accelerate OpenAI's mission and long-term strategy. Bringing together expertise in strategy, M&A, and integration, the team leads the end-to-end process of sourcing, evaluating, negotiating, and integrating acquisitions and other strategic transactions. About the Role This is a high-visibility, strategically critical, cross-functional role at the intersection of M&A execution, enterprise go-to-market, and operational excellence. You will lead the critical phase from diligence through integration planning and post-close follow-through, define repeatable integration playbooks, and partner directly with senior stakeholders to ensure each transaction delivers intended value. The ideal candidate brings structured, hands-on integration experience, with particular expertise in enterprise / B2B transactions and a passion for AI, including building an AI-native corp dev platform. This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Lead integration planning and strategic execution for acquisitions from diligence through post-close follow-through, with clear owners, milestones, risks, and decision points. - Translate deal rationale into practical integration goals and plans across product, engineering, sales, partnerships, customer success, people, finance, legal, security, systems, and communications. - Partner with deal leads during evaluation and diligence to assess

AI Trainer - Computer Scientist (EST) Remote AI Trainer - Computer Scientist About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for people with Computer Science expertise to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world's biggest AI labs. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to £50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll be doing in the role Completing AI training tasks such as analyzing, editing, and writing computer science-related content Judging the performance of AI on programming, algorithms, data structures, and systems prompts Improving cutting-edge AI models using your understanding of software engineering and computational thinking What you'll bring Background in Computer Science and ideally a degree in Computer Science or a closely related field Strong understanding of

Senior AI Engineer United States - Illinois - Abbott Park posted: Posted 2 Days Ago

Software Engineer, Scaled Abuse San Francisco, California, United States About the team The Applied team safely brings OpenAI's technology to the world. We released ChatGPT; Plugins; DALL·E; and the APIs for GPT-5, embeddings, and fine-tuning. We also operate inference infrastructure at scale. There's a lot more on the immediate horizon. Our customers build fast-growing businesses around our APIs, which power product features that were never before possible. ChatGPT is a prime example of what is currently possible. We simultaneously ensure that our powerful tools are used responsibly. Safe deployment is more important to us than unfettered growth. The Fraud Engineering team works within our Applied Engineering organization identifying and responding to fraudsters on our platform. We are looking for a software engineer with anti fraud & abuse experience to help architect and build our next-generation anti-fraud systems. About the role The Scaled Abuse team protects OpenAI's products and customers by detecting, preventing, and responding to fraudulent and abusive behavior at scale. We build and operate the backend and data systems that power real-time detection, investigation workflows, and enforcement - balancing strong protections with a great user experience as the platform grows. Our work sits at the intersection of engineering and abuse expertise: we partner closely with Trust & Safety, Security, and Product to understand emerging attack patterns, translate messy signals into clear system behavior, and continuously harden our defenses. The problems are dynamic and ambiguous by default, so we value engineers who can quickly dive into an unfamiliar codebase, develop

Researcher, Automated Red Teaming San Francisco, California, United States About the team Preparedness is a critical Safety Research team at OpenAI, which is focused on mitigating AI threats to global security that could scale to an extreme level of severity. Our work involves: - Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems. - Mitigation. Keeping misuse safeguards, alignment tools, and security measures on track to adequately address extreme threats that might arise in the future. - Coordination. Setting mitigation targets by maintaining OpenAI's preparedness framework , and partnering with other staff to achieve these targets. This is urgent, fast-paced work that has far-reaching implications for the company and for society. About the role This role leads the Automated Red Teaming (ART) effort: building scalable, research-driven systems that continuously uncover failure modes in our models and safeguards, and translate those findings into actionable, production-facing improvements. The goal is to reduce expected harm by finding the highest-leverage, least-covered weaknesses early and reliably. In this role, you'll: - Own the research and technical direction for automated red teaming across catastrophic risk areas, with an initial emphasis on: - Automated classifier jailbreak discovery (cyber and bio). - Automated bio threat-development elicitation (worst-feasible planning uplift). - CoT monitoring evasion probing (and adjacent loss-of-control evaluations). - Partner closely with: - Vertical risk teams (Cyber, Bio, Loss of Control) to define threat models, prioritize targets, and land mitigations. - The Classifiers team to turn discovered attacks into training data, evals, and measurable robustness gains.

Japanese Language Data Contributor (Multimodal) – Freelance AI Trainer Project World Wide - Remote Are you a Japanese language expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of linguistic discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline communication for Japanese speakers everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for Japanese language specialists who live and breathe Japanese grammar, syntax, morphology, kanji, hiragana, katakana, phonology, and pragmatics. You'll challenge advanced language models on topics like verb conjugation, sentence structure, honorifics, formal and informal speech, regional dialects, kanji readings, and the nuances of Japanese writing systems-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on language scenarios, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A degree in Japanese language, linguistics, or a closely related field is ideal; peer‑reviewed publications, teaching experience, or hands‑on linguistic analysis projects signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your Japanese language expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $6-to- $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final