Openai jobs

Software Engineer, Cloud Infrastructure San Francisco, California, United States About the Team The Applied Engineering team works across research, engineering, product, and design to bring OpenAI's technology to consumers and businesses. You'll join the team responsible for running the core infrastructure that supports products like ChatGPT and the API. The systems we support include our kubernetes clusters, infrastructure deployment, our networking stack, cloud abstractions, and more. 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 The cloud infrastructure team builds and maintains infrastructure abstractions allowing OpenAI to ship products quickly and scalably. This role is based in San Francisco, CA. In this role, you will: - Design and build the development and production platforms that power our products, enabling reliability and security at scale - Ensure our infrastructure can scale to the next order of magnitude - Help create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think - Like all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed. You might thrive in this role if you: - Have 5+ years building core infrastructure - Have experience operating orchestration systems such as Kubernetes at scale - Have experience building abstractions over cloud platforms - Take

Sr. Engineer - Machine Learning Maharashtra, IN posted: Posted 30+ Days Ago

Software Engineer, Integrity Foundations San Francisco, California, United States About the Team The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Applied Foundations team is at the front lines of defending against financial abuse, scaled attacks, and other forms of misuse that could undermine the user experience or harm our operational stability. Integrity Foundations provides the core building blocks and infrastructure for this work. About the Role At OpenAI, our mission is to advance AI in a way that is safe, reliable, and aligned with broad societal values. The applied foundations role is crucial for maintaining the trustworthiness of our platforms. You will be pivotal in developing robust defenses against a spectrum of adversarial behaviors that threaten our ecosystem. In this role, you'll work with our entire engineering team to design and implement systems that detect and prevent abuse, promote user safety, and reduce risk across our platform. You'll be at the forefront of our efforts to ensure that the immense potential of AI is harnessed in a responsible and sustainable manner. In this role, you will: - Develop and enhance systems to detect and prevent various forms of abuse including financial fraud, botting, and scripting. - Collaborate with cross-functional teams to design solutions that protect against and mitigate adversarial attacks without compromising user experience. - Assist with response

Machine Learning Engineer 2 Locations posted: Posted 4 Days Ago

Strategic Sourcing Manager, Memory Storage & CPUs San Francisco, California, United States About the Team The Hardware Strategic Sourcing & Partnerships organization is responsible for the global supply of compute infrastructure powering OpenAI's model training and inference. We lead strategy, supplier engagements, commercial architecture, execution, and long-term enablement across advanced systems including custom silicon, accelerators, CPU platforms, networking, memory, power delivery, cooling, and full rack solutions. We are a small, high-impact team working across engineering, operations, finance, legal, and executive leadership to scale OpenAI's fleet worldwide. About the Role We are seeking a Sr. Strategic Sourcing Manager to own and lead sourcing strategy and global supplier partnerships for the Memory Storage & CPUs category (e.g., power systems, high-speed interconnect, memory subsystems, networking modules, mechanical enclosures, thermal systems, etc.). You will be the single-threaded leader across supplier strategy, selection, negotiations, and commercial/operational execution. You will be accountable for enabling massive growth, reducing long-term cost curves, securing supply resilience, and aligning supplier technology roadmaps with OpenAI's future system architecture needs. 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. Key Responsibilities - Own the category end-to-end: strategy, business case, supplier selection, executive alignment, and operational enablement - Lead complex commercial negotiations including MSAs, NRE, cost models, open-book pricing, ramp/capacity commitments, and risk-buy frameworks - Build and scale a reliable global supply base with redundancy and geopolitical compliance, including mapping and influencing sub-tier

Senior AI Agent Engineer 2 Locations posted: Posted 30+ Days Ago

Systems Software Engineer, Management Plane 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 We're seeking a System Software Engineer to join our First-Party Hardware team. In this role, you will design, build, integrate, and validate low-level system software for the manageability and health of OpenAI's first-party AI hardware systems. You will work across BMC, Linux, firmware interfaces, automation infra, boot and recovery, hardware diagnostics, telemetry, host and platform drivers, network software interfaces, and manufacturing and fleet readiness. A major part of this role is owning the acceptance path for partner-delivered system software: defining requirements, reviewing code and artifacts, reproducing builds, building tests, pushing fixes, and producing the evidence needed for launch decisions. This role is hands-on and high-ownership. You will write and review low-level software, debug issues across hardware and software boundaries, build infra and automation to test and manage devices in lab, guide partner deliverables, build validation evidence, and help carry platforms from bring-up through production deployment. Location: San Francisco, CA (Hybrid: 3 days/week onsite) Relocation assistance available. In this role, you

Staff Machine Learning Engineer Seattle, United States of America Join a team at the forefront of ML infrastructure and generative AI, where data and model workflows come together to enable the next generation of intelligent experiences on Apple products and services. We build robust systems that connect scalable data pipelines with advanced ML workflows, accelerating the development of real-world AI applications. Our work spans the full ML lifecycle, from experimentation to deployment, and you'll play a key role in shaping how AI models are built, optimized, and scaled. We develop a platform for ML data and features that powers advanced GenAI applications. This includes embeddings (generation, evaluation, ANN search, multimodal support), AI Ops, efficient inference, and a modern feature platform designed to streamline experimentation and drive innovation. We're looking for engineers and researchers passionate about generative models, data-centric ML, and intelligent systems across diverse real-world use cases. With the autonomy to experiment, the scale to make an impact, and the support to take ideas from prototype to production, you'll work alongside a world-class team to build intelligent, flexible systems that make ML development faster, more reliable, and more creative. The Apple Cloud AI Platform team enables Apple's next generation of intelligent products by giving Apple's ML engineers and researchers the data systems and large-scale compute they need to build and ship models at Apple's bar for quality and privacy. As a member of the Apple Cloud AI Platform team, your responsibilities will include: Design and build the platform behind Apple's

Tokens-as-a-Service (TaaS) Lead San Francisco, California, United States, Seattle About the Team OpenAI's Industrial Compute team is responsible for building and scaling large-scale compute capacity across first-party data centers, strategic partners, and industrial infrastructure environments. We focus on converting power, land, hardware, and operational execution into reliable compute capacity that can support frontier AI training and inference workloads. This team operates at the intersection of infrastructure delivery, hardware systems, utilities, supply chain, and capacity strategy-ensuring OpenAI can scale compute faster than traditional models allow. About the Role We are seeking a Tokens-as-a-Service (TaaS) Lead to drive the end-to-end conversion of industrial-scale infrastructure investments into usable token capacity for OpenAI workloads. In this role, you will own execution across complex compute programs where raw infrastructure capacity must be transformed into operational GPU throughput. You will coordinate across data center delivery, power, networking, hardware deployment, workload enablement, finance, and external partners to ensure capacity becomes productive tokens as quickly and efficiently as possible. This role is ideal for someone who can bridge physical infrastructure delivery with compute utilization outcomes. Success requires strong systems thinking, elite program leadership, and the ability to drive accountability across internal teams and strategic partners. In this role, you will - Lead Tokens-as-a-Service programs across industrial compute environments, including first-party and partner-owned capacity. - Convert delivered power, space, and hardware capacity into production-ready token throughput. - Build integrated execution plans spanning construction, power energization, rack deployment, networking, cluster readiness, and workload onboarding. - Partner with infrastructure engineering, hardware,

Sr. Staff Engineer (Java Fullstack or Python, AI) Hyderabad, , India Company Description: Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description: Design and build end-to-end full stack applications (frontend, backend, APIs, data layers) Architect scalable, resilient systems using microservices and cloud-native patterns Integrate Generative AI models (LLMs) into applications for automation, insights, and user experience Build and optimize AI-driven workflows (RAG pipelines, agents, prompt engineering) Develop applications using tools like: OpenAI / Azure OpenAI / Anthropic APIs LangChain / LlamaIndex / Semantic Kernel Implement: Retrieval-Augmented Generation (RAG) Vector databases (Pinecone, Weaviate, FAISS) Embedding pipelines and semantic search Design prompt strategies and evaluation frameworks Ensure responsible AI practices (safety, bias mitigation, monitoring) Build modern UI using: React, Next.js, Angular, or Vue

Machine Learning Engineer Office - USA - CA - Headquarters posted: Posted 30+ Days Ago

Machine Learning Engineer - Visual Agents - Special Projects Cupertino, United States of America Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other's ideas stronger. The diversity of our people and their thinking inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. The Special Projects team at Apple is developing novel experiences powered by state-of-the-art agentic vision-language models that incorporate visual context into conversational interaction. We are looking for a Machine Learning Engineer to help us build, fine-tune, and rigorously evaluate these systems. A successful candidate has hands-on experience with vision-language models, knows how to translate ambiguous product requirements into measurable evaluation criteria, and is excited to work at the intersection of multimodal modeling and agentic AI. Build and evaluate vision-language agents that perceive real-world scenes and incorporate that context into conversational models Curate, annotate, and build multimodal datasets to support model training and evaluation Develop automated evaluation pipelines including LLM-as-judge frameworks, human evaluation protocols, and domain-specific benchmarks Fine-tune Large Language Models (LLMs) and Visual-Language Models (VLMs) to improve performance for specific use cases Work closely with other ML Researchers to define evaluation criteria and methodology to systematically evaluate foundation models Design controlled experiments to measure model capabilities,

Systems Software Engineer, Security, First Party Hardware San Francisco, California, United States About the Team OpenAI's Hardware organization develops silicon, systems, and platform infrastructure designed for the unique demands of advanced AI workloads. The First-Party Hardware team works across accelerators, servers, racks, firmware, manufacturing, deployment, and operations to build AI-native compute systems for OpenAI's supercomputing infrastructure. Security is a foundational property of these systems, spanning how devices are designed, provisioned, enrolled, operated, serviced, and retired. About the Role We're seeking a Security Engineer to join our First-Party Hardware team. In this role, you will own the end-to-end security foundation for OpenAI's first-party AI hardware systems, working across hardware security, embedded security, system security, and practical deployment at data center scale. You will partner with silicon, hardware, firmware, infrastructure, manufacturing, operations, and security teams to define and deliver system-level device trust. This includes boot integrity, device identity, provisioning, attestation, management-plane security, storage encryption, debug controls, firmware update and recovery, RMA, and decommissioning. You will be accountable for turning threat models into requirements, requirements into implementation, and implementation into validation evidence that can support launch decisions. Location: San Francisco, CA (Hybrid: 3 days/week onsite) Relocation assistance available. In this role, you will: - Own security requirements, threat models, validation strategy, and launch-readiness evidence for first-party hardware platforms from early design through production deployment. - Design and review secure boot, measured boot, roots of trust, platform firmware resilience, firmware signing, recovery, and anti-rollback strategies across heterogeneous devices. - Own device identity, provisioning, enrollment,

AI Deployment Engineer, Public Sector - Federal Civilian Washington, DC, Washington, District of Columbia, United States About the team The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As an AI Deployment Engineer (ADE) in the OpenAI for Government team, you'll help government agencies transform their organization through solutions such as automated content generation, contextual search, and novel applications that make use of our newest, most exciting models and technology. About the Role We are looking for a driven solutions leader with a product mindset to partner with our public sector customers and ensure they achieve tangible value with GenAI. You will pair with government agencies (federal, state, and local), policymakers, and other public institutions to establish a GenAI strategy and identify the highest value applications. You'll then partner with their technical teams, subject matter experts, systems integrators, and implementation partners to move from prototype through production. You'll take a holistic view of their needs and design an architecture using the OpenAI API and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Global Affairs, Applied Research, and Product teams. This role is based in Washington, DC. We offer relocation support to new employees. In this role, you will: - Deeply embed

Senior Machine Learning Engineer United States (Remote) Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta's unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world's leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world's leading investors, including a16z, Greylock, and Sequoia. Cresta's leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. About the role: Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs. Current focus areas include: - Agentic Assist: Lead and build next-generation agentic AI systems that augment contact center agents in real time. This track requires strong pre-LLM ML foundations, deep expertise in LLMs and modern prompting techniques, a rapid prototyping mindset, and a proven ability to translate cutting-edge research into scalable, production-grade systems. - Agent & System Quality: Design evaluation frameworks and improve the reliability, robustness, and performance

Team Lead / Senior AI Engineer – AI Studio IN - Chennai posted: Posted 30+ Days Ago

Head of Enterprise Sales, Korea Seoul, South Korea, Seoul, South Korea 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 Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This leadership role will be responsible for driving and implementing the overall sales strategy for OpenAI in Korea, recruiting and leading a team of sales professionals, and achieving successful deployments with our customers. The ideal candidate will possess significant sales leadership experience and a comprehensive understanding of AI technologies. This leader will have the capability to adapt to a complex and fast-changing technology environment. Responsibilities will include customer acquisition, account management, owning executive relationships, and more. This individual will also need to be a proven leader who can effectively collaborate cross-functionally with product, marketing, developer relations, operations, and core GTM teams, while guiding and mentoring a sales team towards achieving business objectives. This

Solutions Engineer, Digital Natives Paris, France, Paris, Île-de-France, France About the Team The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, ensuring developers and enterprises maximize value from our models and products. As a Solutions Engineer, you'll help companies across industries transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models. About the Role We are seeking an experienced pre-sales solutions engineer to partner with our Digital Natives customers and ensure they achieve tangible business value from our models through ChatGPT and the OpenAI API. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with Sales, Customer Success, Security, and Product teams. This role is based in our Paris office. 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: - Deliver an exceptional pre-sales customer experience for prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions. - Demonstrate how

Principal AI Engineer United Kingdom posted: Posted 2 Days Ago

Data Scientist, Integrity Measurement San Francisco, California, United States, New York City About the Team The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. Our team is at the front lines of defending against financial abuse, scaled attacks, and other forms of misuse that could undermine the user experience or harm our operational stability The Integrity pillar within Applied Foundations is responsible for the scaled systems that help identify and respond to bad actors and harm on OpenAI's platforms. As the systems that address some of our most severe usage harms become more mature, we're adding data scientists to help us measure robustly the prevalence of these problems and the quality of our response to them. About the Role We are looking for experienced trust and safety data scientists to help us improve, productionise and monitor measurement for complex, actor- and sometimes network-level harms. A data scientist in this role will own measurement and metrics across several established harm verticals, including estimating prevalence for on-platform (and sometimes off-platform!) harm, and analyses to identify gaps and opportunities in our responses. This role is based out of our San Francisco or New York office and may involve resolving urgent escalations outside of normal work hours. Many harm areas may involve sensitive content, including sexual, violent, or otherwise-disturbing material. In this role, you

Senior Manager, Transfer Pricing San Francisco, California, United States About the Team OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. The Tax team is a vital part of OpenAI, ensuring compliance with tax laws and regulations while optimizing the company's tax position. We work closely with various departments to provide tax insights and strategies that support the company's growth and financial objectives. About the Role: This role will support transfer pricing initiatives and other strategic transactions by advising on risks. In parallel, the role will serve as a core tax advisor to the business on transfer pricing matters, including business expansion, operating model, transfer pricing considerations and the tax aspects of commercial and intercompany arrangements. The Transfer Pricing Senior Manager will partner closely with Legal, Finance, Corporate Development, and commercial teams to ensure tax positions are technically sound, operationally executable, and aligned with business and compliance requirements. 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: - Lead the design, development, and implementation of comprehensive global transfer pricing strategies and policies. - Oversee preparation of transfer pricing documentation and compliance, including master files, local files, and country-by-country reports, across multiple jurisdictions and coordinate with local tax teams. - Draft and manage intercompany agreements. - Support transfer pricing aspects of business initiatives. - Evaluate APAs and

Senior Machine Learning Engineer Remote-USA posted: Posted 30+ Days Ago

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

Strategic Finance, Compute San Francisco, California, United States About the Team The Compute & Infrastructure Strategy team handles strategy and execution of OpenAI's compute roadmap. This team's key responsibilities span financial analysis & reporting, capacity planning, commercial and business development, and strategic partnerships. We partner across the business to allocate and deploy our resources for the highest impact outcomes. About the Role Compute is a key lever for OpenAI and AI progress. We are seeking a Strategic Finance Compute Lead to provide finance leadership for our compute and infrastructure spend and play a significant role in shaping our long-term compute strategy. You will play a critical role developing financial models for all areas of compute, analyzing spend patterns, and providing critical insights to optimize and plan for our future compute needs. This role will be a key partner to our scaling and supercomputing engineering teams providing financial expertise and guidance to optimize our capacity investments and drive strategic decision-making, while collaborating with other members of the finance organization to align our compute strategy with broader financial considerations. 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: - Own and develop financial models across different elements of compute (GPUs, CPUs, storage and networking) - Lead strategic financial analysis for long-term capacity initiatives, working closely with scaling and supercomputing engineering teams - Maintain deep expertise on compute