Openai jobs

Strategic Finance, Product San Francisco, California, United States About the Team OpenAI's Strategic Finance organization provides financial insights and guidance to support the company's long-term strategy and ambitious growth. We partner across Product, Partnerships, Engineering, and Marketing to allocate resources to the highest-impact opportunities while protecting sustainable unit economics. The Applications Technology Strategic Finance team partners closely with Product to scale core offerings and bring new products to market. We lead revenue forecasting and performance management across the product portfolio, including economic margins, pricing, and partnership deal pricing and structuring. About the Role We are hiring a senior strategic finance thought partner to help shape ChatGPT Business, OpenAI's self-serve product for teams adopting AI at work. You will partner closely with Product, Engineering, Growth, Data Science, and Marketing leadership to set strategy, evaluate growth bets, guide pricing and packaging decisions, and build the financial rigor that allows the business to scale. You will translate product usage, customer behavior, unit economics, and market signals into decisions on what we build, how we launch, how we monetize, and where we invest. You will help define the growth model for a frontier AI product while working at the intersection of strategy, finance, and technology. 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: - Serve as a strategic finance partner to ChatGPT Business product teams, helping shape product

Business Affairs Manager San Francisco, California, United States About the Team OpenAI didn't begin as a traditional company. It began as an idea: that artificial intelligence could be developed in a way that benefits everyone. As a creative team, our role is to help make sure the work behind that idea is understood, as it leaves the lab and meets the world. This company works at the frontier of intelligence. Like any frontier, it's unfinished, constantly shifting, and still being explored. Our job is to stay close to that uncertainty and help shape how this story gets told, in a way that feels grounded and human. We do this through campaigns, launches, films, brand systems, and work that doesn't fit neatly into any of those categories yet. This team is for people who want to help shape something from the beginning. About the Role OpenAI's Marketing team is looking for a Business Affairs Manager to support our Hardware team. In this role, you'll own Business Affairs work streams across highly confidential, high-visibility marketing projects from early concepting through launch and post-launch usage. You'll be embedded in the project work, partnering closely with Hardware, Product Marketing, Creative, Production, Legal, Procurement, Security, Comms, and external partners to ensure rights, clearances, contracts, vendor requirements, documentation, and risk decisions are managed end-to-end. This role requires someone who can move fluidly between strategic judgment and hands-on execution: shaping scalable BA processes while also driving the day-to-day details that keep complex projects moving. You'll partner with

Industry AI Consultant Engineer Location not specified posted: Posted 30+ Days Ago

Machine Learning Engineer II (Servicing ML) Remote US

TT/Principal-AI Platform & Governance Engineer - Business Consulting Principal Consultant - AI Platform & Governance Engineer - Infosys Consulting Infosys Consulting's Tech Transformation Advisory Practice is seeking a Principal Consultant specializing in AI Platform & Governance Engineer Position Overview: As a Principal Consultant specializing in AI Platform & Governance Engineer you own Enterprise AI Gateway, Local Execution Gateways, and enforce policy and compliance across federated AI architecture. Key Responsibilities: - Design and implement AI Gateway architecture (Enterprise & Local) on Azure/AWS. - Configure MCP servers for interoperability with agentic platforms (MoveWorks, Bedrock, Foundry). - Develop and enforce global/local policies using OPA (Open Policy Agent). - Implement Responsible AI controls (bias detection, provenance, moderation). - Ensure identity federation (Entra ID/Okta), RBAC, and secure token exchange. - Collaborate on CI/CD pipelines for agent deployment and policy updates. - LLM Framework Experience - LLM Providers: OpenAI GPT, Anthropic Claude, Meta Llama, Azure OpenAI Service. - Agentic Platforms: AWS Bedrock, Microsoft Foundry, MoveWorks. - Frameworks & Tooling: - LangChain (prompt chaining, tool orchestration) - CrewAI (multi-agent collaboration) - Haystack (RAG pipelines) - Semantic Router (context-based routing) - AutoGen, LlamaIndex, DSPy (structured agent workflows) - MCP Protocol for interoperability. - Awareness of model lifecycle management (versioning, evaluation, fine-tuning) Required Skills - Cloud-native engineering: Azure AKS, AWS EKS, container orchestration. - Policy & governance: OPA/Rego, compliance frameworks (GDPR, SOC2, EU AI Act). - Security: OAuth2/OpenID Connect, secrets management, data residency. - Interoperability: API design (OpenAPI, JSON schemas), MCP protocol. - DevOps: CI/CD, infrastructure-as-code (Terraform/Helm). Client and

Senior AI Engineer 3 Locations posted: Posted 10 Days Ago

Component and Product Quality Engineer, Interconnects San Francisco, California, United States About the Team OpenAI's Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI's supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role OpenAI's Hardware organization builds supercompute platforms from silicon and boards to full rack-scale systems to power advanced AI workloads. This role owns end-to-end quality for high-speed interconnect hardware across the product lifecycle: early design influence, supplier/contract manufacturer readiness, qualification, ramp, and fleet quality in lab and data center environments. You will be the quality lead for advanced interconnect components and assemblies, including high-speed copper cables, cable cartridges, patch panels, backplane/cable-backplane solutions, high-speed connectors, and related electro-mechanical interfaces. You will partner closely with electrical, mechanical, SI/PI, systems, reliability, operations, and external vendors to prevent escapes and drive rapid, data-driven containment and corrective action. In this role you will: - Own quality for advanced interconnect components and assemblies: high-speed connectors, high-speed copper cables, cable cartridges (e.g., cable cassette style assemblies), patch panels & optics, and backplane/cable-backplane interconnect solutions. - Drive quality-by-design: participate in design reviews, DFM/DFx, tolerance stacks, material and plating selections, connector mating strategy, strain relief, and assembly methods to

AI Trainer - Advanced Korean Fluency (EST) Remote AI Trainer - Advanced Korean Fluency 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 Advanced Korean Speakers to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you a quick 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 $30/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring Advanced language skills and verifiable experience as being fluent in Korean. A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients What you'll be doing in the role Completing AI

Technical Deployment Lead - Sydney Sydney, Australia, Sydney, Australia About the team OpenAI's Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role This is a founding role in Sydney. As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You'll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. This is not a management role, however you'll own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You'll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer

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

Workday Engineer San Francisco, California, United States About the Team OpenAI's People team helps hire, develop, and support the people building safe and beneficial AGI. Within that team, People Systems builds the technical foundation that enables our HR, recruiting, payroll, benefits, and performance operations to scale with quality, speed, and rigor. We work at the intersection of HR systems, software engineering, and internal tooling. Our goal is not just to keep core systems running, but to build durable technical leverage for the company. About the Role We're hiring a Workday Engineer to help design, build, and operate the systems that power critical people workflows at OpenAI. This is a highly technical role for someone who combines strong Workday expertise with real engineering fluency. You'll build reliable integrations, improve system architecture, automate complex workflows, and help connect Workday to internal tools, external platforms, and emerging AI-driven systems. You should be comfortable going beyond configuration work. We're looking for someone who can reason through ambiguous systems problems, write and debug technical solutions, work effectively in Git-based environments, and use modern developer workflows, including CLI-driven tooling, to build and operate with speed and discipline. You'll partner closely with cross-functional teams across People, Finance, Security, and Engineering, including our People Innovations team, to build systems that are secure, scalable, and practical. Some work will involve improving mature production infrastructure; some will involve building entirely new workflows and capabilities from scratch. In this role, you will - Design, build, and maintain Workday integrations, applications, and

Machine Learning Engineer, ML/GenAI Evaluation Austin, United States of America Would you like to contribute to Machine Learning and Generative AI technologies? Are you passionate about measuring what matters and ensuring AI systems work reliably for everyone? Do you believe that rigorous evaluation - including holding models accountable to fairness standards - is what separates great ML from good ML? We truly believe it is! We are defining what exceptional looks like for machine learning across Wallet, Payments, and Commerce. As a Machine Learning Engineer specializing in Evaluation, you will establish the evaluation criteria, metrics frameworks, and quality standards that determine when models are ready to reach hundreds of millions of users. Your judgment shapes model quality and earns the confidence to ship. You'll work at the intersection of rigorous ML science and high-impact product decisions, collaborating closely with ML Engineering, Product, Privacy, and Legal teams. This unique opportunity puts you at the center of model quality - designing adversarial test strategies, surfacing failure modes before they reach users, and owning the sign-off process that ensures Apple's financial features meet the highest bar for accuracy, robustness, and reliability. The ideal candidate is a rigorous, curious ML practitioner who believes that how you measure a model is just as important as how you train it. You think critically about what metrics actually capture, know how models break in the real world, and hold quality standards others find uncomfortably high - including on dimensions like fairness. You will own the full evaluation

Model Policy, Chemical & Biological Risk San Francisco, California, United States About the Team Our Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. The Model Policy team aligns model behavior with desired human values and norms. We co-design policy with models and for models by driving rapid policy taxonomy iteration based on data and defining evaluation criteria for foundational models' ability to reason about safety. Key focus areas include: catastrophic risk, mental health, teen safety and multimodal safety. About the Role Providing access to frontier AI systems raises complex questions around dual-use science and catastrophic risk. How should models respond to requests involving chemical synthesis, biological experimentation, or pathogen research? Where is the boundary between legitimate scientific inquiry and information that could enable misuse? How do we design policies that meaningfully reduce risk without unnecessarily restricting beneficial research? This is a senior role in which you'll help shape policy creation and development at OpenAI for addressing biological and chemical risks. You will develop structured policy frameworks and taxonomies to guide safe model behavior. This role sits at the intersection of biosecurity expertise, AI safety research, and policy design. You will help ensure that frontier AI systems can support beneficial life sciences research, such as drug discovery, public health, and biosafety, while reducing the risk that these capabilities could be misused. Our relevant publications: - Preparedness framework - Preparing

Protection Scientist Engineer, Integrity San Francisco, California, United States, New York City, Washington, DC, Remote - US About the Team OpenAI's mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires real world deployment and iteratively updating based on what we learn. The Protection Scientist Engineer, Integrity team supports this by identifying and investigating misuses of our products - especially new types of abuse. This enables our partner teams to develop data-backed product policies and build scaled safety mitigations. Precisely understanding abuse allows us to safely enable users to build useful things with our products. About the Role Protection Science Engineering is an interdisciplinary role mixing data science, machine learning, investigation, and policy/protocol development. As a Protection Scientist Engineer within Integrity and Investigations, you will be responsible for designing and building systems to proactively identify and enforce on abuse on OpenAI's products. This includes ensuring we have robust abuse monitoring in place for new products, sustaining monitoring for existing products, and prototyping and incubating systems of defense against our highest risk harms. You will also respond to and investigate critical escalations, especially those that are not caught by our existing safety systems. This will require expert understanding of our products and data, and involves working cross-functionally with product, policy, and engineering teams. This role can be based in either our San Francisco, DC or NY office and includes participation in an on-call rotation that will involve resolving urgent escalations outside of

AI Tutor - Hindi Remote ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to xAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and

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

Software Engineer, Ads Monetization, Revenue Platform San Francisco, California, United States About the Team The Applied team at OpenAI safely brings cutting-edge technology to the world. We have released widely used products such as ChatGPT, Sora, and the OpenAI API, powering models including GPT-5 and a growing set of multimodal capabilities across text, image, audio, and video. Our team also manages large-scale inference and platform infrastructure that supports these experiences at global scale. With much more on the horizon, our impact continues to grow. Our customers build fast-growing businesses using our APIs, unlocking product capabilities that were previously unimaginable. ChatGPT and Sora exemplify the breadth of what's now possible across text, image, audio, and video experiences. As these capabilities expand, we prioritize the responsible use of our technology, emphasizing safe and thoughtful deployment over unchecked growth. Within Applied Engineering, the Ads Monetization team in Financial Engineering builds the core systems dealing with all the money flows for ChatGPT Ads. These systems are a combination of low-latency, high scale, high reliability, while being built in a financially correct, accurate, auditable and explainable way. This role sits at the intersection of ads delivery, data engineering, and financial systems. In this role, you will: - Architect and build the core monetization systems for ChatGPT Ads. - Build and operate the core services and pipelines that power ads monetization end-to-end, from event capture and validation through aggregation, pricing, metering, and ultimately producing billable outputs. - Define and implement the source of truth for ads

Machine Learning Engineer/Data Engineer India,Pune posted: Posted 30+ Days Ago

AI Engineer San Diego, CA posted: Posted 17 Days Ago

Account Director, Healthcare & Life Sciences San Francisco, California, United States, New York City, Seattle About the team OpenAI's mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world's best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role As an Account Director focused on Healthcare & Life Sciences, you will own executive-level relationships with leading healthcare and life sciences organizations, including global pharmaceutical manufacturers, medical device companies, and contract research organizations. You'll help these companies safely and effectively deploy OpenAI's technology to transform R&D productivity, automate documentation, enhance regulatory workflows, and personalize patient and provider engagement. This role blends scientific literacy, technical depth, business acumen, and relationship-driven enterprise sales. You will collaborate closely with researchers, engineers, and healthcare-focused solution strategists to design secure, compliant, and high-impact AI deployments. This role is based in San Francisco. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you'll: - Manage a focused portfolio of healthcare, large pharmaceutical and life sciences accounts,

AI Engineer CRAFZ Heredia (CRAFZ) Afz posted: Posted 15 Days Ago

OpenShift Infrastructure - Senior Consultant 8 Locations posted: Posted 17 Days Ago

Staff Machine Learning Engineer Pune, India posted: Posted Yesterday

Infrastructure Partnership Delivery Lead – Stargate Remote - US, United States About the Team OpenAI, in close collaboration with our capital partners, is building the world's most advanced AI infrastructure ecosystem through the Stargate program-an initiative to develop massive next-generation datacenter campuses in partnership with industry leaders. The Physical Infrastructure team sits at the center of this effort, driving infrastructure strategy and execution from site development through full operational readiness. This team operates at the intersection of technical infrastructure, delivery, operations, and commercial partnerships, working across internal teams and external partners to enable large-scale AI compute deployments. About the Role We are seeking an Infrastructure Partnership Delivery Lead - Stargate to own partnership and delivery from construction through compute readiness across one of our most critical infrastructure relationships. This role serves as the primary delivery owner and strategic operational interface for key Stargate programs, ensuring successful execution across construction, datacenter operations, hardware deployment, and partner ecosystems. You will operate across technical infrastructure, delivery execution, and partnership management to ensure infrastructure programs move quickly, efficiently, and reliably from buildout through operational readiness. This is a people management role requiring strong physical infrastructure experience, delivery leadership through turn-up, and the ability to navigate complex multi-partner environments with urgency and clarity. Key Responsibilities - Own operational delivery for major Stargate infrastructure programs across partner-operated datacenter campuses - Serve as OpenAI's primary delivery interface with strategic infrastructure partners - Coordinate execution across construction, facilities, hardware deployment, and infrastructure operations teams - Drive operational readiness