Openai jobs

Machine Learning Engineer, Agentic AI Remote-USA posted: Posted 30+ Days Ago

Head of Events, APAC Singapore About the Team OpenAI's mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Marketing Events team is a dynamic and ethos-driven group dedicated to crafting one-of-a-kind and extraordinary experiences that encompass OpenAI's values and mission. Our team is driven by a deep passion for shining the spotlight on others and bringing people together to connect in meaningful ways. About the Role We are seeking a Head of Events, APAC to lead the strategy and execution of OpenAI's event ecosystem across the Asia-Pacific region - shaping how we bring people together around one of the most transformative technologies of our time. This role defines how events serve as a core engine for marketing, community, and trust, connecting developers, customers, executives, policymakers, creatives, and emerging builders to OpenAI's mission at scale. You will operate at both a strategic and operational level, building and scaling a regional events organization capable of delivering world-class programs across diverse markets and cultures. Partnering closely with senior executives and cross-functional leaders, you'll translate business priorities and product innovation into impactful live experiences - from flagship conferences and executive events to developer programs and community moments that inspire connection and engagement. At its heart, this role is about leadership and creation. You will mentor and grow a high-performing regional team while fostering a collaborative, can-do culture grounded in craft, creativity, and shared ownership. Success requires balancing long-term vision with a willingness to dive into execution to unblock teams, raise

Machine Learning Engineer Shanghai, China posted: Posted 30+ Days Ago

Security Researcher, Agentic AI Threats San Francisco, California, United States About the team Preparedness is a critical Safety Research team at OpenAI, which is focused on mitigating AI threats to global security that could scale to an extreme level of severity. Our work involves: - Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems. - Mitigation. Keeping misuse safeguards, alignment tools, and security measures on track to adequately address extreme threats that might arise in the future. - Coordination. Setting mitigation targets by maintaining OpenAI's preparedness framework , and partnering with other staff to achieve these targets. This is urgent, fast-paced work that has far-reaching implications for the company and for society. About the role As AI agents become more capable at software engineering, and automate more of our internal work, they could become a dangerous cyber threat. People in this role will help OpenAI prepare for security threats from advanced AI agent insiders. In this role, you will: - Identify paths by which capable future internal AI agents could compromise OpenAI. - Design security controls - focusing on measures with long lead times that benefit from advanced preparation. - Stress-test defenses with AI agent evaluations and penetration tests You might thrive in this role if you: - Are deeply technical across security and modern infrastructure, and are comfortable digging into the details of operating systems, cloud, containers, CI/CD, or distributed systems. - Have strong software engineering skills and enjoy building prototypes yourself. - Are interested in engaging

Training Performance Engineer San Francisco, California, United States About the Team Training Runtime designs the core distributed machine-learning training runtime that powers everything from early research experiments to frontier-scale model runs. With a dual mandate to accelerate researchers and enable frontier scale, we're building a unified, modular runtime that meets researchers where they are and moves with them up the scaling curve. Our work focuses on three pillars: high-performance, asynchronous, zero-copy tensor and optimizer-state-aware data movement; performant, high-uptime, fault-tolerant training frameworks (training loop, state management, resilient checkpointing, deterministic orchestration, and observability); and distributed process management for long-lived, job-specific and user-provided processes. We integrate proven large-scale capabilities into a composable, developer-facing runtime so teams can iterate quickly and run reliably at any scale, partnering closely with model-stack, research, and platform teams. Success for us is measured by raising both training throughput (how fast models train) and researcher throughput (how fast ideas become experiments and products). About the Role As a Training Performance Engineer, you'll drive efficiency improvements across our distributed training stack. You'll analyze large-scale training runs, identify utilization gaps, and design optimizations that push the boundaries of throughput and uptime. This role blends deep systems understanding with practical performance engineering - analyzing GPU kernel performance, collective communication throughput, investigating I/O bottlenecks, and sharding our models so we can train them at massive scale. You'll help ensure that our clusters are running at peak performance, enabling OpenAI to train larger, more capable models with the same compute budget. This role is

Machine Learning Engineer Belfast - 20 Adelaide Street posted: Posted 30+ Days Ago

Full Stack Software Engineer, GTM Innovation San Francisco, California, United States About the Team The GTM (Go-To-Market) Innovation team is an internal powerhouse revolutionizing how we engage customers through groundbreaking applications of our technology. As an incubator, we amplify the impact of Sales, Technical Success, Enablement, and Revenue Operations by deploying our technology at scale. This team applies advanced capabilities to real-world interactions - reshaping conversations with customers, learning from every exchange, and finding novel ways to show the value of our technology. About the Role We're looking for Full Stack software engineers with a product mindset to join the GTM Innovation team. As a product engineer on this team, you'll help OpenAI meet the world at scale. You'll partner closely with go-to-market teams to understand their workflows, identify leverage points, and ship novel solutions using OpenAI's API platform. You'll move quickly from prototype to production, and your work will directly shape how customers experience our technology in the field. This role is ideal for engineers who want to be close to users, own end-to-end outcomes, and help define entirely new categories of enterprise software. In this role, you will: - Build high-impact applications and tools that accelerate OpenAI's go-to-market efforts - Work across the full product lifecycle for GTM: prototype, iterate, ship, and maintain - Embed with Sales, Technical Success, and Revenue Operations to identify user needs and build for them - Apply OpenAI's models in novel ways to solve real-world customer and internal workflow problems - Translate learnings

ML Research Engineer - Hardware Codesign 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 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 Research-Hardware Codesign Engineer to operate at the boundary between model research and silicon/system architecture. You'll help shape the numerics, architecture, and technology bets of future OpenAI silicon in collaboration with both Research and Hardware. Your work will include debugging gaps between rooflines and reality, writing quantization kernels, derisking numerics via model evals, quantifying system architecture tradeoffs, and implementing novel numeric RTL. This is a hands-on role for people who go looking for hard problems, get to ground truth, and drive it to production. Strong prioritization and clear, honest communication are essential. Location: San Francisco, CA (Hybrid: 3 days/week onsite) Relocation assistance available. In this role you will: - Build on our roofline simulator to track evolving workloads, and deliver analyses that quantify the impact of system architecture decisions and support technology pathfinding. - Debug gaps between performance simulation and real measurements; clearly communicate root cause, bottlenecks, and invalid assumptions. - Write emulation kernels for low-precision numerics

Order Management & Billing Lead, Cloud Marketplaces & Partnerships - AWS San Francisco, California, United States About the Team OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Order to Cash (OTC) team oversees the complete flow of commercial transactions from order intake and provisioning through billing, collections, and cash application - ensuring accuracy, compliance, and operational excellence in support of OpenAI's mission to ensure artificial general intelligence benefits all of humanity. About the Role We are looking for a strategic and hands-on operator to support and scale our Order Management and Billing Operations function, with a focus on cloud marketplaces and partner billing operations. The immediate priority for this role will be supporting the operational readiness and ongoing billing workflows for our AWS partnership, while building scalable processes that can support additional cloud marketplaces and partner channels as OpenAI's ecosystem expands. This role will be responsible for managing the end-to-end order-to-invoice lifecycle across direct enterprise billing, cloud marketplaces, and other partner channels. This includes ensuring that contract terms, provisioning, pricing, usage, billing data, and partner-specific requirements flow seamlessly through our systems to produce accurate, timely, and audit-ready invoicing. You will help define and execute our operating model across Order Management, Billing Operations, cloud marketplace workflows, and broader partner billing operations. You will partner closely with Revenue Systems, Product, Engineering, GTM, Finance, Partner Operations, and external partner stakeholders. This role is critical in building the operational backbone that supports OpenAI's expansion into cloud

AIML - Staff Machine Learning Engineer, Answers, Knowledge & Information (AKI) Santa Clara, United States of America The Siri and Information Intelligence team is revolutionizing the way hundreds of millions of people access information on their devices, all while keeping user privacy at the forefront. As an Applied ML team, we're pushing the boundaries of Apple Intelligence, result ranking, and innovative search technologies, all while running a low latency production service. Our work fuels intuitive information experiences across some of Apple's most iconic products, including Siri, Spotlight, Safari, Messages, Lookup, and more. Join us in shaping the future of how the world connects with information! We are looking for a senior Machine Learning Engineer with a passion for using machine learning to build intelligent search applications. Our team researches and implements novel query understanding, ranking and response generation techniques, machine learning algorithms and models that power amazing Search experiences across Apple products. In this role you will have the opportunity to develop LLMs and other NLP models for user productivity and improving Siri's ability to answer personal domain questions. Our team owns models which are responsible for answering users' questions using their personal documents with privacy at the forefront, and that integrates with other Siri capabilities to enable powerful user experiences. Role responsibilities include: - Contribute to research, design, implementation, and evaluation of models to enhance quality and performance, and to support key functions for Personal Q&A. - Implement and extend LLM models with fine-tuning and RLXF methodologies. Develop high

Researcher, Recursive Self-Improvement Preparedness San Francisco, California, United States About the team Preparedness is a critical Safety Research team at OpenAI, which is focused on mitigating AI threats to global security that could scale to an extreme level of severity. Our work involves: - Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems. - Mitigation. Keeping misuse safeguards, alignment tools, and security measures on track to adequately address extreme threats that might arise in the future. - Coordination. Setting mitigation targets by maintaining OpenAI's preparedness framework , and partnering with other staff to achieve these targets. This is urgent, fast-paced work that has far-reaching implications for the company and for society. About the role Preparedness is hiring strong technical executors to support preparations for recursive self-improvement. This work relies on reasoning about problems that might exist in the future, but might not exist now; so it's especially important that people in this role are tasteful and strategic. Potential focus areas include: - AI R&D risk measurement: Track progress toward automation of technical staff to inform OpenAI's near-term investments in alignment and security. For example, combine measures of coding time horizon, spending on internal coding inference, staff surveys, etc to triangulate a trendline. - Data-poisoning mitigations: Implement defenses that mitigate the risk of threat actors insert hidden objectives into OpenAI's models. - Model behavior science : Design experiments to understand the extent to which models are problematically misaligned, or their safety-relevant capabilities lag behind dangerous capabilities. - Model transparency:

Software Engineer, Full Stack, Revenue Platform San Francisco, California, United States About the Team Revenue Platform sits at the intersection of customer experience, financial precision, and enterprise-grade reliability. We build both end-user experiences and the underlying platform capabilities that power invoicing, billing, payments, and revenue recognition across OpenAI. Our work spans high-leverage customer surfaces and deep, reusable platform primitives used by multiple teams. These are foundational systems that will support OpenAI's growth for years to come, and we're looking for engineers who care deeply about craftsmanship, correctness, and building platforms and experiences that scale gracefully and are a joy to build on. OpenAI's mission is to ensure that artificial general intelligence benefits all of humanity. Achieving that mission requires more than great models, it demands a world-class commercial platform that enterprises can trust. The Revenue Platform team enables organizations to confidently adopt, scale, and manage their usage of OpenAI products by providing reliable, extensible financial infrastructure and shared services that power the broader ecosystem. We're looking for a full-stack engineer to take end-to-end ownership of critical revenue workflows and the platform abstractions behind them. You'll work across APIs, data models, shared services, and user interfaces to solve hard problems in scale, correctness, and usability. Partnering closely with Product, Finance, Sales, Operations, and other engineering teams, you'll turn complex business requirements into durable platform capabilities, raising the bar on engineering quality and developer experience as our products and enterprise footprint grow. About the Role As a Full Stack Engineer on the

SOC Architect San Francisco, California, United States About the Team Our mission at OpenAI is to discover and enact the path to safe, beneficial AGI. To do this, we believe that many technical breakthroughs are needed in generative modeling, reinforcement learning, large scale optimization, active learning, among other topics. The Scaling team builds robust and scalable software and hardware to support our research efforts. It also offers core development services for mission critical goals and applications. We're expanding our team to work more closely with our partners on hardware optimization and co-design, and are looking for engineers who cut across the stack from at scale ML model/workload understanding through system architecture to microarchitecture. This team will be responsible for working with partners to optimize their hardware for our workloads from early concept stage through production. About the Role We are seeking an experienced SoC Architect to lead the definition and development of next-generation custom AI silicon for edge deployments. This role will be responsible for shaping the architecture of highly efficient, high-performance SoCs optimized for machine learning inference and on-device intelligence. You will work cross-functionally with internal engineering teams and external ecosystem partners to translate product requirements into scalable silicon solutions, driving execution from concept through delivery. In this role you will: - Define the architecture and technical roadmap for custom SoCs targeted for edge applications. - Drive system-level tradeoff analysis across compute, memory, interconnect, power, thermal, and cost constraints. - Architect energy-efficient ML compute subsystems optimized for inference workloads

Solutions Engineer, Financial Services San Francisco, California, United States About the Team The Technical Success team is responsible for the customer experience on the OpenAI suite of products, ensuring developers and enterprises maximize benefit, value, and adoption from our highly-capable models. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are seeking a solutions engineer to partner with our largest Financial Services customers and ensure they achieve tangible business value from our models through the OpenAI suite of products. 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 Financial Services and Large Enterprise Sales, Security, and Product teams. This role is based in San Francisco, CA or New York, NY. 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 large Financial Services prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions. - Demonstrate how leveraging OpenAI's suite of products can meet customers' business needs and deliver substantial business value. This includes building and presenting demos, scoping use cases,

Strategic Finance, International San Francisco, California, United States About the Role OpenAI's Applications organization spans several rapidly scaling businesses across Consumer, Enterprise, Developers, and Hardware. As OpenAI expands globally, the international business is becoming an increasingly important driver of growth, requiring deeper financial visibility, regional coordination, and market-specific investment decision-making. We are hiring a senior Strategic Finance thought partner to work closely with the Business Finance Officer (BFO), regional leadership and other Strategic Finance teams to drive the financial performance of OpenAI's international business. This role operates at the intersection of strategy, finance, and operations. You'll help leadership understand regional performance drivers, allocate investment effectively across markets, and ensure the organization scales globally with strong financial discipline. You'll also focus on the highest-leverage international priorities: building financial visibility across regions, improving operating rigor, identifying growth opportunities and risks, and ensuring alignment across regional leaders and central functional teams. This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Periodic international travel is expected, with potential opportunities to live and work from one of our regional offices over time. In this role, you will: - Own financial visibility and performance management across OpenAI's international business, including regional revenue, growth, investment efficiency, and operating metrics. - Partner with regional leaders and functional teams to identify opportunities, risks, and operational bottlenecks across key international markets. - Support international expansion planning by helping evaluate

Software Engineer, Internal Applications - Enterprise San Francisco, California, United States About the Team OpenAI's Platform and Infrastructure Engineering organization advances the mission of deploying artificial general intelligence (AGI) for the benefit of all by delivering secure, scalable, and resilient technology solutions. Our team builds and maintains robust infrastructure that safeguards OpenAI's data and systems while ensuring employees are well-equipped and seamlessly connected. By prioritizing security, reliability, and user-centric solutions, we empower OpenAI employees to drive impactful AI research, corporate operations, and product innovation. About the Role As a Software Engineer: Internal Applications, Enterprise, you will build internal products that make technology support and administration safer, faster, and less dependent on manual intervention. You will help reduce reliance on broadly privileged human actions, turn recurring technology problems into paved paths, and build agentic systems that can help resolve tickets end to end. A core part of the role is building the interfaces that bring employees, AI agents, and human responders together in a shared ITSM experience, with the right context, controls, and handoffs at each step. We are seeking engineers who enjoy working across frontend and backend layers on ambiguous, high-leverage enterprise problems. You should bring strong product judgment, solid backend engineering fundamentals, and an interest in building software that changes how technology support, system administration, and agent-assisted operations are delivered. The best fit will care as much about the quality of the operator and employee experience as the correctness of the backend systems behind it. In this role, you

Safety Response Operations Lead Singapore About the Team At OpenAI, our Trust, Safety & Risk Operations teams safeguard our products, users, and the company from abuse, fraud, scams, regulatory non-compliance, and other emerging risks. We operate at the intersection of operations, compliance, user trust, and safety working closely with Legal, Policy, Engineering, Product, Go-To-Market, and external partners to ensure our platforms are safe, compliant, and trusted by a diverse, global user base. The Global Safety Response Operations team provides 24/7 coverage for user safety, risk, and regulatory escalations across OpenAI's products, handling the highest-priority cases that require human judgment and rapid response. The team operates as the core escalation and delivery arm of OpenAI's safety operations, ensuring that our products remain safe and aligned with policy while enabling timely, empathetic, and consistent user support. About the Role The Global Safety Response Operations Lead is a hands-on team lead who both manages a regional Safety Response team and personally handles high-risk safety cases. This role combines frontline safety work with people leadership, operational ownership, and cross-functional coordination. You will lead a team of Safety Response Analysts who handle OpenAI's most sensitive and high-impact cases, while also personally contributing to casework for complex, high-risk, or high-visibility issues. You will own the execution of high severity escalations in your region and ensure proper execution and communication to cross functional stakeholders You will be accountable for ensuring your region consistently meets utilization, quality, and SLA targets while serving as the operational interface with Product,

Staff Computer Vision AI/ML Engineer 2 Locations posted: Posted 2 Days Ago

Engineering Manager, Identity Infrastructure San Francisco, California, United States About the Team Identity is the foundation of trust in an AI-powered world. As people build a rich personal and organizational context in ChatGPT, they need systems that protect it, remember it, and let them share it securely across apps and agents. Without strong identity, context stays locked away or exposed. With it, AI becomes safe, personal, and truly useful, empowering users while keeping control firmly in their hands. Our team builds the trusted OpenAI account layer that connects people, enterprises, developers, and agents to OpenAI apps and the broader AI ecosystem. Our systems are the front door to OpenAI-held to an exceptionally high bar for availability, security, and latency-and are depended on by many internal teams. About the Role As an Engineering Manager, Identity Infrastructure, you will lead a team owning foundational identity services that must be highly reliable, secure, and fast under extreme load. You'll set direction, grow and support the team, and partner closely across engineering and security to strengthen the platform that enables trusted access to OpenAI products. We're looking for people who combine strong infrastructure depth with people leadership-someone who can guide technical strategy, run reliable operations, and build a high-performing team delivering mission-critical systems. 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. What You'll Do: - Build, lead, and develop a high-performing engineering team.

Signal Integrity Engineer 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 looking for signal integrity (SI) system design engineers who have a deep expertise in the SI area, and hold strong system level design knowledge 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 system signal integrity (SI) design for AI supercomputer product in the data center application. - Collaborate with chip, package, boards, rack and system engineers, design partners to drive system SI design and develop innovative interconnect and high-speed technologies - Identify and evaluate new technologies and methodologies to improve signal and power integrity in product design, and contribute to the development of new products and technology by providing expertise in signal integrity - Perform simulation and modeling to identify and troubleshoot signal integrity issues - Lead system interconnect design, bring up and qualification - As the scope of the role and team

Senior AI/ML Engineer Amsterdam, Netherlands posted: Posted 30+ Days Ago

Solutions Engineer, Private Equity San Francisco, California, United States About the Team The Technical Success team is responsible for the customer experience on the OpenAI suite of products, ensuring developers and enterprises maximize benefit, value, and adoption from our highly-capable models. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are seeking a solutions engineer to partner with our largest Private Equity customers and ensure they achieve tangible business value from our models through the OpenAI suite of products. 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 Private Equity and Large Enterprise Sales, Security, and Product teams. This role is based in San Francisco, CA or New York, NY. 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 large Private Equity prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions. - Demonstrate how leveraging OpenAI's suite of products can meet customers' business needs and deliver substantial business value. This includes building and presenting demos, scoping use cases,

Senior AI Engineer Dublin - Charlotte posted: Posted 10 Days Ago

Global Detection and Response Lead San Francisco, California, United States, Seattle, New York City About the Team OpenAI's Security organization exists to enable safe, responsible innovation at scale. As our systems, infrastructure, and research footprint grow, we invest deeply in world-class security capabilities that protect our people, products, and users without slowing progress. This organization safeguards OpenAI's environments by building advanced detection systems, driving real-time response capabilities, scaling telemetry and logging infrastructure, and delivering actionable threat intelligence to stay ahead of adversaries. About the Role We are seeking a Global Detection and Response Lead to own and scale OpenAI's cybersecurity detection and response operations. In this role, you will set the strategy and drive execution for security monitoring, incident response, recovery, and post-incident improvements across our global infrastructure. You will be a hands-on leader with deep technical credibility and strong operational instincts. You will build and mentor high-performing teams, partner closely with Infrastructure, Research, Product Security, Enterprise Security, IT, and Engineering, and ensure that detection and response capabilities are embedded by design into the systems that power OpenAI. This is a strategic and practical leadership role requiring deep technical credibility, operational rigor, and the ability to build high-performing teams in a fast-moving environment. In this role, you will: - Oversee global detection and response operations, including continuous monitoring, triage, investigation, containment, and remediation of security events across a diverse set of networks and infrastructure. - Lead, mentor, and directly manage several small teams of senior engineers across observability, detection and