Openai jobs

Executive Business Partner, OpenAI for Government & Global Affairs Washington, DC, Washington, District of Columbia, United States About the Team OpenAI's mission is to ensure that artificial intelligence benefits all of humanity. Achieving this goal requires not only building cutting-edge technology, but ensuring it is deployed responsibly in real-world contexts. OpenAI for Government partners with U.S. and allied government institutions to support the responsible adoption of AI across defense, intelligence, and civilian agencies. We work at the intersection of technology, policy, and operations to ensure that our tools are deployed in ways that are effective, aligned with democratic values, and grounded in real-world consequences. This role will support leaders on two teams at the center of OpenAI's work with governments worldwide: OpenAI for Government and Global Affairs. As part of the OpenAI for Government team you will work across federal, state, and local governments, helping to accelerate adoption through hands-on support, tailored training, and early insights-so civil servants can spend less time on red tape and more on meaningful work. If you're passionate about responsibly deploying frontier AI to uplift public institutions and transform how the government works, we want you on our team. As part of the Global Affairs National Security team, you will help shape OpenAI's engagement with senior national security leaders and policymakers around the world, navigating one of the most consequential and fast-moving policy landscapes of our time. You will work at the intersection of frontier AI, geopolitics, and defense - helping to build trusted relationships,

Research Scientist San Francisco, California, United States By applying to this role, you will be considered for Research Scientist roles across all teams at OpenAI. About the Role As a Research Scientist here, you will develop innovative machine learning techniques and advance the research agenda of the team you work on, while also collaborating with peers across the organization. We are looking for people who want to discover simple, generalizable ideas that work well even at large scale, and form part of a broader research vision that unifies the entire company. We expect you to: - Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects - Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects - Be excited about OpenAI's approach to research Nice to have: - Interested in and thoughtful about the impacts of AI technology - Past experience in creating high-performance implementations of deep learning algorithms About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value

Software Engineer, Localization San Francisco, California, United States About the Team OpenAI's mission is to ensure that artificial general intelligence benefits all of humanity. A majority of our users interact with our products in languages other than English, and our products must work seamlessly across languages, regions, and cultures. The Internationalization team builds the infrastructure that enables OpenAI products to ship globally by default. We develop the systems that power localization, international product launches, and high-quality global user experiences across all OpenAI products. About the Role As a Senior Software Engineer on the Internationalization team, you will build the systems that power localization and international product launches at OpenAI. You'll work on the platform that manages product content, translation workflows, and localization infrastructure across our products. This role sits at the intersection of AI systems, developer platforms, and product infrastructure. In this role, you will - Build and scale OpenAI's localization, content, and experimentation platform used across OpenAI product teams, including open-source components: - Develop AI-powered translation pipelines combined with human-in-the-loop review workflows. - Design systems that reliably deliver localized product content across web and mobile apps. - Build tools that enable linguists and localization teams to review and improve translations. - Develop developer tooling that simplifies localization and internationalization workflows. - Build and maintain internationalization libraries used across OpenAI products: - Design systems that correctly handle numbers, currencies, dates, and pluralization across locales. - Improve support for multilingual interfaces and right-to-left languages. - Partner with product teams to improve

Research Engineer San Francisco, California, United States By applying to this role, you will be considered for Research Engineer roles across all teams at OpenAI. About the Role As a Research Engineer here, you will be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. We're looking for people with solid engineering skills (for example designing, implementing, and improving a massive-scale distributed machine learning system), writing bug-free machine learning code, and building the science behind the algorithms employed. The most outstanding deep learning results are increasingly attained at a massive scale, and these results require engineers who are comfortable working in large distributed systems. We expect engineering to play a key role in most major advances in AI of the future. We expect you to: - Have strong programming skills - Have experience working in large distributed systems - Be excited about OpenAI's approach to research Nice to have: - Interested in and thoughtful about the impacts of AI technology - Past experience in creating high-performance implementations of deep learning algorithms About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value

Security Engineer, Host Assurance San Francisco, California, United States, Seattle About the Team Security is foundational to OpenAI's mission to ensure that artificial general intelligence benefits all of humanity. The Security organization protects OpenAI's technology, people, and products by building and operating deeply technical systems that must work reliably at massive scale. Our work underpins OpenAI's commitments around safety, privacy, and security across research, products, and emerging platforms. The Host Assurance team exists to make bare metal a dependable, scalable foundation for OpenAI: secure by default, verifiable in practice, and resilient across providers and operating models. We operate at the trust boundary between physical hardware and cloud-scale orchestration, ensuring that hosts are eligible to safely run workloads with predictable security properties and auditability. About the Role OpenAI is seeking a Security Engineer, Host Assurance to help build the trust foundations for bare-metal platforms across OpenAI's global infrastructure. This is a deeply hands-on engineering role for a builder who can design, implement, and operate the core security infrastructure that establishes trust in hardware platforms before they are eligible to run workloads. Success in this role requires strong technical judgment, the ability to work comfortably at low levels of the stack, and a practical mindset for building systems that are secure, reliable, and usable in fast-moving production environments. The systems you build will sit on the critical path of OpenAI's frontier infrastructure investments and will directly shape how large amounts of compute are brought online - securely, responsibly, and at global scale

AI Adoption, Content & Community Manager, OpenAI for Government Washington, DC, Washington, District of Columbia, United States About the Team At OpenAI, we believe artificial intelligence should benefit all of humanity - and that belief is nowhere more tangible than in the public sector. Governments serve people at scale, under real constraints, with high stakes and deep responsibility. The OpenAI for Government team exists to help public servants harness AI to reduce friction, increase impact, and spend more minutes on mission . We partner with state, local, federal, and international governments to enable responsible, human-centered AI adoption - not just through technology, but through trust, education, community, and inspiration. About the Role We're hiring an AI Adoption, Content, and Community Manager for Government Engagement & Enablement - a builder, connector, storyteller, and super-user who lives and breathes ChatGPT and deeply understands public service. This role sits at the intersection of enablement, education, community, communications, and marketing. You will be the connective tissue between OpenAI and government practitioners around the world - helping them learn, share, teach, celebrate wins, and feel confident using AI in their day-to-day work. You will intrigue them with inspirational adoption, deployment and practical content that makes them want to be customers and you will create initiatives that make them glad to be customers. You will be an AI adoption expert and enabler, the keeper of government-specific content (training, enablement, messaging), the architect of community experiences (events, cohorts, networks), and a trusted guide who helps public servants

Researcher, Interpretability San Francisco, California, United States About the Team The Interpretability team studies internal representations of deep learning models. We are interested in using representations to understand model behavior, and in engineering models to have more understandable representations. We are particularly interested in applying our understanding to ensure the safety of powerful AI systems. Our working style is collaborative and curiosity-driven. About the Role OpenAI is seeking a researcher passionate about understanding deep networks, with a strong background in engineering, quantitative reasoning, and the research process. You will develop and carry out a research plan in mechanistic interpretability, in close collaboration with a highly motivated team. You will play a critical role in helping OpenAI ensure future models remain safe even as they grow in capability. This will make a significant impact on our goal of building and deploying safe AGI. In this role, you will: - Develop and publish research on techniques for understanding representations of deep networks. - Engineer infrastructure for studying model internals at scale. - Collaborate across teams to work on projects that OpenAI is uniquely suited to pursue. - Guide research directions toward demonstrable usefulness and/or long-term scalability. You might thrive in this role if you: - Are excited about OpenAI's mission of ensuring AGI benefits all of humanity, and are aligned with OpenAI's charter . - Show enthusiasm for long-term AI safety, and have thought deeply about technical paths to safe AGI. - Bring experience in the field of AI safety, mechanistic interpretability,

Data Engineer San Francisco, California, United States About the team The Applied team works across research, engineering, product, and design to bring OpenAI's technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the role: We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI! In this role, you will: - Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse. - Develop canonical datasets to track key product metrics including user growth, engagement, and revenue. - Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions. - Implement robust and fault-tolerant systems for data ingestion and processing.

Software Engineer, Cooperative AI San Francisco, California, United States, Seattle About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building an AI powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains. The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale. About the Role We're looking for Software Engineers who're passionate about blending production-ready platform architecture with new tech and new paradigms. You'll push the boundaries of OpenAI's newest technologies to enable interactions and automations that are not only functional, but delightful. We value proactive,

Principal Security Engineer, Infrastructure Security Remote - US, United States, San Francisco, Seattle, New York City About the Team Security is at the foundation of OpenAI's mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI's technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role OpenAI is seeking a Principal Security Engineer to join our Infrastructure Security (InfraSec) team. InfraSec protects the foundations of OpenAI's research and production environments, spanning GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter includes securing everything from bare-metal hardware and firmware, to Kubernetes clusters and service meshes, to data storage and access pathways for highly sensitive model weights and user data. As a principal engineer, you will set technical direction and drive execution on high-impact infrastructure security programs, partnering across various orgs at OpenAI to deliver durable controls that raise the security bar at OpenAI scale. In this role, you will: - Own end-to-end security outcomes for one or more critical infrastructure areas, including multi-quarter strategy, roadmap, and delivery. - Design and build security controls across diverse layers (e.g., physical hardware, firmware/BMC, OS, Kubernetes, networks, and CI/CD) to defend against sophisticated

Director, Certifications Remote - US, United States About the Role OpenAI's certification initiative is a major strategic program that spans multiple parts of the company. The Director of Certifications will own this initiative as a company-level program across Product, Customer Education, GTM, and Partnerships. This role is responsible for defining the architecture, operating model, and long-term trajectory of OpenAI's certification program. You will set vision for how OpenAI certifications are structured, how they integrate with product capabilities, and how the system scales to reach millions of learners while maintaining credibility and rigor. The role requires operating across all of OpenAI to build a coherent certification system that reflects real product capability. The role reports to the Head of Customer Readiness and works closely with leaders across Product, GTM, and Partnerships. In this role, you will: Own the certification initiative as a strategic program - Lead the development of OpenAI's certification system as a company-wide initiative. - Define the program's structure, roadmap, and operating model. - Ensure that certifications evolve alongside OpenAI's rapidly developing products. Define how AI capability is measured - Develop frameworks for evaluating practical AI capability using OpenAI products. - Ensure certifications measure real workflows and product usage rather than theoretical knowledge. - Translate product capabilities into meaningful certification pathways. Shape product integration - Partner closely with product teams to ensure certification systems integrate with OpenAI's platform and learning tools. - Influence product features that support learning, evaluation, and skill development. - Ensure certifications remain tightly aligned with

Startup Content Marketing Lead San Francisco, California, United States About the Team Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of AI. With that aim in mind, we are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI's products and platform amongst our core audiences. We take a data-driven approach to understand our customers' needs and challenges, ensuring that their voices are reflected in product development and messaging. We then partner closely with product, engineering, developer relations, comms, and sales teams to create a cohesive customer experience across all our channels. Our focus extends beyond just promoting product features; we aim to provide valuable insights and resources that help our users make the most out of AI technologies. About the Role As a Startup Content Marketing Lead, you will define and drive how OpenAI co-markets with top startups. You will build social-first content series highlighting how founders use OpenAI, partner with field teams to capture high-quality moments from events, and support OpenAI's startup narrative so it lands clearly and consistently in field programs. This role sits at the center of how OpenAI tells startup stories at scale. As a high-ownership IC marketer, you will shape the narratives founders and builders see, connect field programs to always-on content engines, and turn founder experiences into durable content franchises that drive awareness, engagement, and measurable GTM impact-helping startups build successfully with OpenAI. In This Role, You Will

Full Stack Software Engineer, OpenAI Edu San Francisco, California, United States About the team OpenAI's Education team is building products and experiences that help learners, educators, and institutions benefit from AI in ways that are rigorous, useful, and grounded in real learning outcomes. The work spans both consumer and B2B education, with close collaboration across engineering, learning science, design, data, and research. This team sits in a highly strategic investment area for OpenAI, with strong opportunities to shape how product ideas flow across consumer and institution-facing experiences. Some of our recent work: - New tools for understanding AI and learning outcomes - Education for countries - Advancements in higher education - Early product work - Introducing Study Mode About the role We're looking for a product-minded Full Stack Engineer to help build OpenAI's education products from the ground up. You'll own end-to-end development across the stack, from early concepting and prototyping through production launch and iteration. This is an opportunity to work on a highly strategic, early-stage product area where engineering judgment, product sense, and customer empathy all matter. You'll partner closely with leaders across the education org, including learning scientists, researchers, designers, and cross-functional partners, to turn emerging ideas into durable product experiences for schools, universities, and other education stakeholders. In this role, you will: - Build and ship product experiences across the full stack for OpenAI's education offerings - Own projects end-to-end, from ideation and technical design through implementation, launch, and iteration - Work closely with learning scientists

Startup Field Marketer San Francisco, California, United States About the Team Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of AI. With that aim in mind, we are responsible for developing and executing strategies that OpenAI Job Board drive awareness, engagement, and usage for OpenAI's products and platform amongst our core audiences. We take a data-driven approach to understand our customers' needs and challenges, ensuring that their voices are reflected in product development and messaging. We then partner closely with product, engineering, developer relations, comms, and sales teams to create a cohesive customer experience across all our channels. Our focus extends beyond just promoting product features; we aim to provide valuable insights and resources that help our users make the most out of AI technologies. About the Role As a Startup Field Marketer, you will execute and scale OpenAI startup field marketing programs, bringing high-impact founder experiences to life across owned events and technical community moments. This role will manage the end-to-end execution of startup-facing initiatives including founder events, workshops, hackathons, ecosystem activations, and flagship moments tied to OpenAI launches and products. You'll partner closely with startup GTM, product marketing, developer relations, events, and marketing teams to ensure OpenAI consistently shows up with high-signal, technically credible experiences for founders and builders. Sitting at the center of how OpenAI engages the startup ecosystem in the real world, you'll help scale how startups discover, adopt, and build with OpenAI through programs

Research Engineer, Applied AI Engineering San Francisco, California, United States About the Team OpenAI is at the forefront of artificial intelligence, driving innovation and shaping the future with cutting-edge research. Our mission is to ensure that AI's benefits reach everyone. We are looking for visionary Research Engineers to join our Applied Group, where you'll transform groundbreaking research into real-world applications that can change industries, enhance human creativity, and solve complex problems. About the Role As a Research Engineer in OpenAI's Applied Group, you will have the opportunity to work with some of the brightest minds in AI. You'll contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions. If you're excited about making AI technology accessible and impactful, this role is your chance to make a significant mark. In this role, you will: - Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. - Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. - Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches. - Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning

Senior OpenAI Forward Deployed Engineer - GPS Location not specified

GTM Cyber Security Leader San Francisco, California, United States, New York City, Remote - US About the Role As Head of Cyber Security GTM, you will serve as a second-line sales leader responsible for building and scaling OpenAI's cybersecurity business. You will define how OpenAI engages CISOs, security organizations, and technical buyers across the enterprise landscape, while leading senior sales leaders and specialist teams focused on one of the most strategic and rapidly evolving areas of AI adoption. This role will shape OpenAI's cybersecurity go-to-market strategy, establish executive credibility in the market, and help customers understand how to securely deploy, govern, and operationalize AI across their organizations. You will partner closely with Product, Security, Research, Partnerships, Policy, and Solutions teams to ensure OpenAI can scale durable growth in a highly technical, fast-moving, and trust-sensitive market. In this role, you will: - Build and lead OpenAI's cybersecurity GTM organization, including specialist sales motions, executive engagement strategies, and technical customer coverage models. - Lead and develop senior leaders and frontline managers across the cyber business, raising the bar on execution, talent, and operational rigor. - Establish a high-accountability operating model with strong inspection cadences, pipeline reviews, forecasting discipline, and talent development mechanisms that scale through multiple layers of leadership. - Own the cybersecurity GTM strategy, including segmentation, account prioritization, coverage design, partner strategy, and investment allocation. - Define how OpenAI engages CISOs, security executives, and technical decision-makers, building credibility and trust in highly complex enterprise environments. - Help shape OpenAI's cybersecurity narrative

Software Engineer, Backend (Cooperative AI) San Francisco, California, United States, Seattle About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building a model powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains. The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale. About the Role We're looking for a Backend Software Engineer to help architect and scale the infrastructure that powers our knowledge systems. This is a deeply technical and highly cross-functional role where you'll build robust systems and backend services that serve as the

Data Center Physical Security Regional Lead San Francisco, California, United States, Remote - US, Seattle, New York City About the Team The Corporate Security team is responsible for the security and protection of all OpenAI employees and executives. We are committed to creating and maintaining a secure environment that allows our team members to focus on their work without fear of harm or disruption. About the Role As the Data Center Physical Security Regional Lead based in the US you will lead to ensure the highest level of physical security for OpenAI's data centers. As OpenAI expands its data center footprint, there is a growing need for a regional leader who can design, implement, and manage robust security infrastructures that protect our facilities, assets, and people. This role is driven by the need to mitigate risk, ensure operational continuity, and comply with industry security standards while supporting OpenAI's growth objectives. We are looking for someone who can thrive in a fast-paced environment, seamlessly collaborate with cross-functional teams and external partners, and proactively address security challenges through innovative and proven solutions. You'll collaborate closely with cross-functional teams to ensure that OpenAI's security posture remains strong and adaptive in a fast-evolving environment. The ideal candidate will not only safeguard our data center's physical environments but contribute to building scalable, future-proof security systems that evolve with OpenAI's growth. The role is preferred to be based in San Francisco, Seattle or New York City but may consider remote work. We use a hybrid work

AI Support Engineer - Tokyo Tokyo, Japan, Tokyo, Japan About the Team OpenAI's User Operations team shepherds our customers' adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for dedicated, experienced, and passionate individuals to help solve some of the most difficult problems faced by our customers and build our post-AGI support team with us. In this role, you will interact directly with customers through support tickets and Slack messages, troubleshooting complex issues and resolving novel, often undefined technical problems while setting a positive precedent for the rest of the team. You'll partner closely with cross-functional teams to drive initiatives that reduce bugs, improve features, and build the systems that elevate our customer experience. Your work will bring us toward industry-leading response times and service levels, while strengthening our internal customer feedback operations in an increasingly intricate space. You will help scale our support organization by improving operational processes and leveraging our own technology to build the next version of the support team in the new AI world. You will be

AI Support Engineer - San Francisco San Francisco, California, United States About the Team OpenAI's User Operations team shepherds our customers' adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for dedicated, experienced, and passionate individuals to help solve some of the most difficult problems faced by our customers and build our post-AGI support team with us. In this role, you will interact directly with customers through support tickets and Slack messages, troubleshooting complex issues and resolving novel, often undefined technical problems while setting a positive precedent for the rest of the team. You'll partner closely with cross-functional teams to drive initiatives that reduce bugs, improve features, and build the systems that elevate our customer experience. Your work will bring us toward industry-leading response times and service levels, while strengthening our internal customer feedback operations in an increasingly intricate space. You will help scale our support organization by improving operational processes and leveraging our own technology to build the next version of the support team in the new AI world. You

RE/RS, Data Understanding (MM) San Francisco, California, United States About The Team The Data Understanding team is responsible for creating the high quality datasets and their quantized representation for OpenAI. This includes synthesizing multimodal data, building VQ representations, and processing, filtering, deduplication, quality control, and tokenization so it can be used effectively in big model training runs. About The Role We're looking to advance how OpenAI prepares, curates, synthesizes and understands multimodal data at scale. You'll work on research and production problems like synthesizing multimodal content (images, audio, and video) and their supervisions, improving noisy data pipelines, building better quality filters, using models to automate data prep, and measuring whether changes in the dataset improve model performance. We Expect You To - Have a strong track record of new or improved ML ideas, through publications, projects, or applied research. - Own and drive a research agenda, from choosing the right multimodal data problems to carrying long-running work through to impact. - Be excited by OpenAI's empirical, collaborative approach to research. Nice To Have - Experience with multimodal learning, audio, vision, video, synthetic data, or data-centric ML. - Thoughtfulness about AI's impact, including privacy, provenance, and data quality. - Experience building high-performance deep learning or large-scale data processing systems. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our

AI Support Engineer - Dublin Dublin, Ireland, Dublin, Leinster, Ireland About the Team OpenAI's User Operations team shepherds our customers' adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for dedicated, experienced, and passionate individuals to help solve some of the most difficult problems faced by our customers and build our post-AGI support team with us. In this role, you will interact directly with customers through support tickets and Slack messages, troubleshooting complex issues and resolving novel, often undefined technical problems while setting a positive precedent for the rest of the team. You'll partner closely with cross-functional teams to drive initiatives that reduce bugs, improve features, and build the systems that elevate our customer experience. Your work will bring us toward industry-leading response times and service levels, while strengthening our internal customer feedback operations in an increasingly intricate space. You will help scale our support organization by improving operational processes and leveraging our own technology to build the next version of the support team in the new AI world. You will

Security Engineer, Insider Threat Detection & Response San Francisco, California, United States, Seattle, New York City, Remote - US About the Team Security is at the foundation of OpenAI's mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI's technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role As a Security Engineer you will join our OpenAI engineers and researchers in building, operating and securing transformational AI technologies. This role will focus on all aspects of Detection & Response but with a strong emphasis on detecting insider threats and influencing controls to safeguard OpenAI's most sensitive assets. In this role, you will: In this role, you will: - Innovate on Detection and Response infrastructure to engineer and automate end-to-end detection and investigation workflows. - Develop, measure, and tune detection rules to ensure effective and sustainable operations. - Drive projects across OpenAI's technology stack with a focus on insider threats, ranging from access abuse and intellectual property theft to novel risks emerging within AI infrastructure. - Partner closely with cross-functional stakeholders, including HR, Legal, and peer investigative teams, providing technical expertise and evidence to support investigations. - Collaborate on cutting-edge AI research, and use AI to improve OpenAI's Security