OpenAI

OpenAI

We are seeking a Machine Learning Engineer to spearhead the technical direction for ML-powered experimentation and insights. This role involves building production systems that leverage privacy-protected data to generate evidence-backed insights and inform decision-making, helping teams identify promising ideas for live testing. This is a comprehensive, end-to-end role where you will work across various domains including ML modeling, retrieval and LLM systems, statistical methods, simulation, data and training pipelines, backend services, and user-facing product experiences. The core challenge lies in ensuring that insights and predictions are not only plausible but also traceable, calibrated, useful, and safe enough to guide real product decisions. You will design systems that explicitly address uncertainty, backtest against historical data, compare predictions with online results, learn from discrepancies, and gracefully abstain when evidence is insufficient, all while maintaining clear review and approval processes as automation advances.

$437k - $485k

OpenAI

The Monetization team is a new cross-functional group focused on building foundational systems to responsibly scale access to intelligence. Our mission is to develop user-first, privacy-preserving monetization products, including next-generation ads experiences, that strengthen user trust, unlock economic opportunity, and support OpenAI's long-term innovation. This role operates in a greenfield environment, moving quickly through prototyping, experimentation, and iterative deployment, partnering closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale. As a Research Engineer, you will contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions and making AI technology accessible and impactful.

$381k - $555k

OpenAI

OpenAI is seeking a Forward Deployed Engineer (FDE) to lead the end-to-end deployment of its AI models within financial services organizations. This role involves partnering with banks, asset managers, and other financial firms to integrate AI systems into high-stakes environments, focusing on correctness, latency, explainability, and control. You will work closely with customers to translate complex workflows and regulatory requirements into reliable, auditable production systems that deliver measurable business impact. Success will be measured by production adoption, workflow efficiency, risk reduction, and revenue impact, with feedback loops informing product and strategy. This position also plays a key role in shaping OpenAI's financial services offerings by identifying use cases, defining solution patterns, and building scalable deployments.

$185k - $300k

OpenAI

We are seeking an AI Systems Engineer to join our pAGI Infra team, which builds and operates the systems essential for large-scale model training and evaluation. This role involves owning projects from identifying bottlenecks and designing solutions to deployment and operation, focusing on distributed systems engineering, performance optimization, and collaboration with researchers. You will directly contribute to improving the speed and reliability of research by potentially building shared grading services, optimizing resource allocation, or integrating new training stacks into production.

$266k - $500k

OpenAI

We’re hiring a Research Engineer to help OpenAI models solve chip-design problems through reinforcement learning, tool use, and evaluation. You’ll own experiments from the initial idea through implementation and analysis, building environments and evaluations, running training, investigating failures, and using the results to decide what to try next. You’ll also build the software needed to make those experiments reliable and reproducible. We value strong coding fundamentals, careful experimental judgment, and the ability to make progress independently. Prior chip-design experience is helpful, but you can learn the domain alongside the team’s hardware specialists.

$380k - $500k

OpenAI

OpenAI's Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems, operating at the intersection of customer delivery and core platform development. Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. Success will be measured through production adoption, measurable workflow impact, and feedback that influences product and model roadmaps. You'll work closely with Product, Research, Partnerships, GRC, Security, and GTM teams.

$185k - $300k

OpenAI

OpenAI's Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems, operating at the intersection of customer delivery and core platform development. Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. Success will be measured through production adoption, measurable workflow impact, and eval-driven feedback that influences product and model roadmaps. You'll work closely with Product, Research, Partnerships, GRC, Security, and GTM teams.

$185k - $300k

OpenAI

The Partner Applied AI Engineer team focuses on the safe and effective deployment of Generative AI applications for developers and enterprises. As a founding member of this team, you will act as a trusted advisor and technical partner to customers, guiding them through their AI adoption strategy. Your role involves developing tailored GenAI use cases for various industries and driving these initiatives from prototype to production through hands-on technical guidance and collaboration. You will work closely with systems integrators and their strategic clients to transform businesses using AI solutions like customer service automation and novel applications leveraging advanced AI models.

$197k - $278k

OpenAI

We are seeking a Software Engineer to develop the research infrastructure and tooling that will enable OpenAI models to design silicon. This role involves transforming chip-design workflows into robust environments for reinforcement learning and evaluation, and simplifying the process for researchers to conduct experiments and iterate on new ideas. You will bridge software engineering, tool integration, and open research challenges, leveraging strong coding fundamentals, clear technical judgment, and independent execution. While prior chip-design experience is beneficial, domain knowledge can be acquired alongside our hardware specialists.

$266k - $468k

OpenAI

We are seeking a driven solutions leader with a product mindset to partner with public sector customers and ensure they achieve tangible value with GenAI. You will collaborate with government agencies, policymakers, and public institutions to establish a GenAI strategy and identify the highest value applications. You will then partner with their technical teams, subject matter experts, systems integrators, and implementation partners to move from prototype through production, designing an architecture using the OpenAI API and other services to maximize customer value. This role involves deeply embedding with sophisticated public sector customers as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API and other OpenAI foundational technologies like Codex.

$211k - $302k

OpenAI

This role focuses on oversight and system-level mitigations to enable increasingly capable AI agents to operate safely and autonomously in real environments. The team prioritizes building oversight systems used in practice today, both internally and externally, and studies longer-term questions about how agent systems can be supervised, constrained, and corrected. We are looking for a safety-minded researcher or engineer who can reason rigorously about security boundaries and agent behavior, then build and test practical mitigations. A background in AI control or security is welcome but not required.

$380k - $500k

OpenAI

The Agent Safety team is dedicated to ensuring that advanced AI agents operate safely, make sound judgments, and align with user intentions. The mission is to minimize the risk of severe unintended consequences from increasingly capable AI agents while maintaining their effectiveness and autonomy. This involves creating training methods, environments, and data to teach agents better decision-making, building evaluation systems to identify emerging risks, and developing oversight mechanisms to reduce harmful actions.

$380k - $500k

OpenAI

We are building the Defense Factory to help enterprises find and fix security vulnerabilities with AI. Our team builds infrastructure that enables AI agents to work in secure, customer-controlled cloud environments, with the context, tools, and controls they need to investigate security findings, carry out approved actions, and verify results. We focus on turning AI capabilities into reliable security outcomes, starting with finding and fixing vulnerabilities and expanding into investigation, detection, and response. This role is backend-focused, and you will build infrastructure and customer-facing workflows that let developers and AI agents work reliably in parallel, primarily in Go on APIs, complex networking, development environments, and orchestration for long-running tasks. You will own outcomes from understanding a user’s problem and choosing an approach through shipping, operating, and improving the solution, working closely with frontend, infrastructure, and security engineers.

$255k - $445k

OpenAI

We are seeking a technically deep, creativity-driven Applied AI Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt. This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.

OpenAI

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. The Interpretability team studies internal representations of deep learning models, aiming to understand model behavior and engineer models with more understandable representations, with a particular focus on ensuring the alignment of powerful AI systems.

$295k - $500k

OpenAI

We are seeking a hands-on Applied AI Engineer with deep cybersecurity experience and a product mindset to help government and national security customers apply frontier AI to critical cyber missions. You will bring practical expertise in areas such as red teaming, vulnerability research, reverse engineering, and threat hunting, ideally developed through work with the defense and intelligence sector. Working directly with cyber operators, security researchers, and engineering teams, you’ll identify high-value applications, write code, build and evaluate AI-powered tools and agentic workflows, and move solutions from prototype into secure operational use. You’ll design architectures using OpenAI models, APIs, and existing security tooling, grounded in customers’ mission requirements and operational constraints. You will collaborate closely with Sales, Solutions Engineering, Applied Research, Product, and Security teams to deliver measurable improvements in cyber capabilities and translate customer experience into better models and products.

$211k - $302k

OpenAI

OpenAI is seeking dedicated and curious individuals to join its User Operations team as an AI Support Engineer. This role is crucial in supporting public sector customers, including U.S. Government agencies, by troubleshooting complex issues and ensuring their successful adoption of OpenAI's AI products. You will act as a trusted expert and a critical escalation point, partnering closely with customers and Engineering teams to resolve technical challenges. Beyond issue resolution, you will help define the future of AI-driven support by leveraging automation and AI technologies to improve systems, reduce bugs, and elevate the customer experience. This role involves working directly with customers through support tickets and live calls, often resolving novel and ambiguous technical problems in a fast-paced environment. Your work will directly support mission-critical systems built on OpenAI's platform, serving as a vital line of defense for large-scale operations.

$162k - $234k

OpenAI

OpenAI is seeking dedicated, experienced, and deeply curious individuals to join its User Operations team as an AI Support Engineer. This role is crucial in helping customers adopt AI and ensuring an exceptional product experience, acting as the first post-AGI support team. You will work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in a rapidly evolving environment. Your work will directly support mission-critical systems built on OpenAI's platform, serving as a critical line of defense for large-scale operations. Beyond resolving technical issues, you will help define world-class support for the future, partnering with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience by leveraging automation, agents, and AI technology.

$180k - $260k

OpenAI

We are seeking a Manager to build, lead, and develop a high-performing team of Applied AI Engineers supporting our enterprise customers. You will be accountable for the technical success of a broad and strategically important customer portfolio. You will help your team identify high-value opportunities, design and deploy production-grade AI systems, navigate complex technical and organizational constraints, and expand successful implementations across workflows, teams, and business units. This role requires technical depth, people leadership, customer judgment, and operational rigor. You should be comfortable coaching engineers through architecture and evaluation decisions, engaging directly in high-stakes customer situations, and collaborating with Sales, Solutions Engineering, Product, Research, Engineering, Security, and Legal.

$251k - $335k

OpenAI

OpenAI is seeking an Applied AI Engineering Manager for its Startups team. This role will lead and scale efforts to help high-growth startups move from experimentation to production, unlock significant usage, and build strong technical partnerships. The manager will operate in a fast-paced environment, working closely with founders, CTOs, and technical teams, requiring speed, sound judgment, and hands-on problem-solving. The position involves balancing team leadership, technical expertise, customer prioritization, and cross-functional collaboration with Sales, Product, Engineering, and Research teams. The core responsibility is to define how OpenAI supports startup customers at scale, identifying opportunities for deep technical engagement, building repeatable deployment processes, and ensuring the team can serve a diverse customer base effectively.

$302k - $335k