Currently tracking 199 active AI roles, down 29% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $230k–$555k (avg $372k).
OpenAI currently has 235 active AI-related job listings. The majority of these roles are in the application stage, accounting for 32% of the total, followed closely by the agents stage at 29%. The dominant function for hiring is Engineering, with 168 positions. Frequent tech tags include model_serving, evals, and agent_orchestration, suggesting a focus on deploying and managing AI models. In the last 30 days, OpenAI posted 50 new AI roles, representing a 14% increase compared to the previous 30-day period.
OpenAI currently has 254 active AI-related roles in our index. The most common open titles are: AI Deployment Engineer (4), Partner AI Deployment Engineer - AWS (4), AI Deployment Engineer - Startups (3), AI Deployment Engineer- Codex (3), AI Deployment Engineer, Startups (2). Most positions are in Engineering and Research.
OpenAI's active AI hiring is concentrated in: application (33%), agents (28%), serving infrastructure (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
OpenAI is hiring AI talent in: United States (203 roles), United Kingdom (14 roles), Japan (6 roles), Germany (5 roles).
Job postings at OpenAI most frequently reference: model serving, agent orchestration, evals, llm observability, inference infra.
In the past 30 days, OpenAI has posted 56 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Engineer, Integrity Machine Learning Engineer on the Integrity team at OpenAI, focused on defending against adversarial threats and misuse of AI platforms. The role involves designing, deploying, and optimizing ML models for content understanding and abuse prevention, working with researchers and engineers to turn research into tangible solutions, and ensuring the trust and safety of the platform. | Post-trainServe | 9 |
| Inference Technical Lead, On-Device Transformers Lead the implementation of the low-level inference stack for on-device transformer models, including kernel development and runtime systems, while collaborating with researchers and hardware vendors to optimize model architectures for deployment constraints. | Serve |
| 9 |
| Research Engineer/Scientist - Human Alignment, Consumer Devices Research Engineer/Scientist focused on RLHF and post-training for personalized, multimodal AI systems within the Consumer Devices group. The role involves building learning and evaluation foundations for adaptive models, working on reward modeling, preference learning, and long-horizon evaluation to improve model behavior in realistic user settings, with a strong product grounding. | Post-trainAgent | 9 |
| Security Researcher, Codex Security Lead security research on AI systems, focusing on vulnerability discovery, validation, and remediation using AI agents. This role involves building AI-driven systems, improving model capabilities, and contributing to the Codex Security product line. | AgentData | 9 |
| Forward Deployed Engineer (FDE) - Seattle This role focuses on leading end-to-end deployments of frontier AI models for strategic customers, building full-stack systems, and driving production adoption. It involves technical scoping, system design, build, and rollout, with a strong emphasis on customer collaboration and using evaluation feedback to influence product and model roadmaps. The role requires contributing code, codifying patterns, and sharing field insights. | AgentServe | 9 |
| Threat Modeler, Preparedness This role focuses on identifying, modeling, and forecasting risks from frontier AI systems, ensuring evaluation frameworks and safeguards are robust. It involves developing threat models for misuse and alignment risks, forecasting future risks, and connecting technical, governance, and policy perspectives on AI safety and preparedness. | Eval Gate | 9 |
| Product Manager, API Agents Product Manager for OpenAI's API Agents team, focusing on defining and guiding the future of agentic applications built on OpenAI's models. The role involves understanding developer needs, setting roadmap priorities, and collaborating with research and engineering to deliver developer products and features like SDKs and APIs. | Agent | 9 |
| Researcher, Automated Red Teaming This role leads the Automated Red Teaming (ART) effort, focusing on building scalable, research-driven systems to uncover failure modes in AI models and safeguards. The goal is to translate these findings into actionable improvements and reduce expected harm by identifying weaknesses early and reliably. The role involves research into automated classifier jailbreak discovery, bio threat-development elicitation, and CoT monitoring evasion probing, with a strong emphasis on applied research, evaluations, and building scalable automation. | Eval GateAgent | 9 |
| Researcher, Frontier Cybersecurity Risks Researcher focused on identifying and mitigating cybersecurity risks associated with frontier AI models, designing and implementing an end-to-end mitigation stack for prevention, monitoring, detection, and enforcement. | AgentEval Gate | 9 |
| Research Engineer / Machine Learning Engineer - Applied Voice Research Engineer role focused on designing, building, and optimizing state-of-the-art speech models (speech-to-speech, transcribing, text to speech) and transforming research breakthroughs into tangible OpenAI speech products. Involves collaboration with cross-functional teams, implementing scalable data pipelines, and ensuring models are production-ready. | Post-trainServe | 9 |
| Machine Learning Engineer, Distributed Data Systems - Robotics Machine Learning Engineer focused on designing and scaling distributed data infrastructure for large-scale multimodal training and evaluation in robotics, ensuring reliability and efficiency for rapid iteration cycles. | DataEval Gate | 9 |
| Manager, Forward Deployed Engineering Manager for a Forward Deployed Engineering team at OpenAI, responsible for leading a team that turns research breakthroughs into production systems for customers. The role involves owning end-to-end delivery outcomes, informing product and research roadmaps, and ensuring safe deployment at scale. Requires strong leadership, technical delivery experience, and the ability to make sound decisions under pressure. | Ship | 9 |
| Software Engineer, Platform Systems Software Engineer on the Platform Systems team at OpenAI, responsible for designing and building distributed systems for failure detection, tracing, and observability in large-scale AI training jobs. This role focuses on operating and improving the reliability and performance of OpenAI's training infrastructure. | DataServe | 9 |
| Researcher, Frontier Biological and Chemical Risks Researcher focused on identifying, tracking, and preparing for catastrophic risks related to frontier AI models, with a specific emphasis on biological, chemical, and cyber risks. The role involves designing and building evaluations for frontier AI models, contributing to risk management strategies, and ensuring the scientific validity of preparedness capability evaluations. | Eval Gate | 9 |
| ML Research Engineer - Hardware Codesign Research Engineer focused on hardware-silicon co-design for AI workloads, optimizing numerics, architecture, and technology bets. Involves debugging performance gaps, writing quantization kernels, evaluating numerics via model evals, and prototyping RTL for novel numeric modules. Aims to bridge ML research and hardware development for OpenAI's supercomputing infrastructure. | ServePost-train | 9 |
| Research Engineer, Privacy Research Engineer focused on integrating privacy into AI systems, developing and deploying privacy-preserving ML algorithms, measuring robustness against privacy attacks, and defining privacy standards for the ML lifecycle. | Post-trainData | 9 |
| Research Engineer / Research Scientist, Post-Training Research Engineer/Scientist focused on post-training of pre-trained models for deployment in products like ChatGPT and API. The role involves owning a research agenda to improve model capability and performance, collaborating with other teams, building robust evaluations, and implementing/debugging code. Requires strong ML engineering skills, research experience, and understanding of machine learning applications and model evaluations. | Post-trainEval Gate | 9 |
| AI Deployment Engineer- Codex This role focuses on helping customers adopt OpenAI's coding tools (Codex) by acting as a technical partner, guiding engineering teams in integrating Codex into their projects and workflows. The engineer will design, validate, and scale AI workflows, build demos and integrations, lead workshops, and contribute technical content. The role blends technical architecture, product strategy, and customer-facing leadership, aiming to accelerate the deployment of intelligent coding systems. | Ship | 9 |
| Software Engineer, Distributed Data Systems - Robotics Software Engineer to design and scale infrastructure for large-scale multimodal training and evaluation in robotics at OpenAI. Focus on distributed data pipelines, ML infrastructure, and ensuring scalability and reliability. | DataEval Gate | 9 |
| Forward Deployed Engineer (FDE) - NYC This role focuses on leading end-to-end deployments of frontier AI models for strategic customers, building full-stack systems, and driving production adoption. It involves technical scoping, system design, build, and rollout, with a strong emphasis on customer value and feedback loops to improve product and model roadmaps. The role requires contributing code, codifying patterns, and sharing field insights. | ShipServe | 9 |
| Software Engineer, Hardware Software Engineer role focused on building and optimizing the low-level stack for AI supercomputing clusters, including runtimes, kernels, and compiler infrastructure, to orchestrate computation and data movement for distributed training workloads. | Serve | 9 |
| Researcher, Pretraining Safety Researcher focused on pretraining safety for AI models, developing upstream safety evaluations, creating safer priors through targeted pretraining, and designing safe-by-design architectures. The role involves identifying safety-relevant behaviors in early-stage models and reducing risk during training. | Pretrain | 9 |
| Training: ML Framework Engineer This role focuses on improving the core distributed machine-learning training runtime for OpenAI, aiming to accelerate researchers and enable frontier-scale model runs. The engineer will work on high-performance data movement, fault-tolerant training frameworks, and distributed process management to increase both training throughput and researcher throughput. | DataPretrain | 9 |
| Offensive Security Engineer, Agent Products Principal-level Offensive Security Engineer focused on deep, hands-on penetration testing of OpenAI’s agent-powered products, infrastructure, and model-integrated application surfaces. Assesses complex systems, identifies vulnerabilities, validates exploitability, and partners with engineering teams to drive fixes. Builds tools and automation for offensive security workflows. | Agent | 9 |
| Training Performance Engineer The Training Performance Engineer will drive efficiency improvements across OpenAI's distributed training stack, focusing on optimizing GPU utilization, throughput, and uptime for large-scale distributed model training. This role involves profiling, analyzing performance bottlenecks in compute, communication, and storage, and collaborating with engineers to improve kernel efficiency, scheduling, and collective communication performance, particularly for pre-training. | Data | 9 |
| Software Engineer, Inference – AMD GPU Enablement Software Engineer focused on scaling and optimizing OpenAI's inference infrastructure on emerging GPU platforms, specifically AMD accelerators. The role involves working across the stack from low-level kernel performance to high-level distributed execution, integrating internal model-serving infrastructure, debugging distributed inference workloads, and collaborating on high-performance GPU kernels and communication libraries. | Serve | 9 |
| Technical Lead, Safety Research This role is a Technical Lead for Safety Research at OpenAI, focusing on advancing AI safety and alignment. The team works on implementing robust, safe behavior in AI models, developing new evaluations for misalignment, and supporting human oversight. The lead will set research directions, drive exploratory research, and collaborate across teams to ensure strong safety results. Key responsibilities include setting research strategies, coordinating with cross-functional teams, evaluating model safety, and conducting research on topics like RLHF, adversarial training, and robustness. The role requires a strong track record in AI safety research, leadership experience, and a deep understanding of deep learning. | Post-trainEval Gate | 9 |
| Data Scientist, Codex This role focuses on measuring and accelerating product-market fit for AI developer tools, specifically within the Codex product team at OpenAI. The Data Scientist will define developer productivity metrics, design and interpret A/B tests for new coding models and features, and analyze model performance across various languages and tasks. The insights generated will directly influence the product's direction and the broader software engineering industry. | Agent | 9 |
| Forward Deployed Engineer - Munich This role focuses on leading end-to-end deployments of frontier AI models for strategic customers, involving system design, build, and production rollout. The engineer will work closely with customer teams to deliver value, gather feedback for product and model improvements, and contribute to the development of reusable tools and playbooks. The role requires strong engineering experience, including building and deploying LLM-powered systems, and the ability to manage complex projects in ambiguous environments. | AgentServe | 9 |
| Forward Deployed Engineer - Paris This role focuses on deploying frontier AI models into production systems for strategic customers, involving end-to-end ownership from discovery and scoping to system design, build, and rollout. The engineer will partner with customer teams, contribute code, build full-stack systems, and provide feedback to improve models and product roadmaps, measuring success through adoption and impact. | AgentServe | 9 |
| Forward Deployed Engineer - Dublin This role focuses on leading end-to-end deployments of frontier AI models for strategic customers, involving technical scoping, system design, build, and production rollout. The engineer will partner closely with customer teams, contribute code, and codify working patterns into reusable tools. Success is measured by production adoption, workflow impact, and feedback that influences product and model roadmaps. The role requires experience in building or deploying LLM-powered systems and delivering complex systems in ambiguous environments. | AgentServe | 9 |
| Forward Deployed Engineer (FDE) - SF This role focuses on leading end-to-end deployments of frontier AI models for strategic customers, bridging customer needs with core platform development. The FDE will own the entire delivery lifecycle, from discovery and scoping to system design, build, and production rollout, ensuring measurable workflow impact and gathering feedback to influence product and model roadmaps. The role involves building full-stack systems, embedding with customer teams, and contributing code directly when necessary, with a strong emphasis on making trade-offs between scope, speed, and quality. | ShipAgent | 9 |
| Research Engineer, Codex Research Engineer role focused on building and improving AI systems for code generation, reasoning, and agentic behavior. The role involves research, experimentation, system optimization, and deployment across the full lifecycle of coding capabilities, aiming to enhance products like ChatGPT and the API. | AgentServe | 9 |
| Software Engineer, Accelerators Software Engineer focused on optimizing low-level software for AI accelerators to improve efficiency and performance for large-scale training and inference of AI models, including LLMs and recommender systems. | ServePretrain | 9 |
| RE / RS - Foundations, Search Research role focused on embedding retrieval and agentic search, developing foundational technology for future frontier models. Involves designing new embedding training objectives, scalable vector store architectures, and dynamic indexing methods, with potential for publication and integration into OpenAI products. | DataAgent | 9 |
| Software Engineer, Agent Infrastructure Software Engineer role focused on building and scaling the infrastructure for training and deploying AI agents, including a novel container orchestration platform and production deployment systems. Collaborates with researchers and product teams to enable complex agentic models and launch agentic products. | AgentServe | 9 |
| Software Engineer, Inference - Multi Modal Software Engineer focused on building and optimizing inference infrastructure for OpenAI's multimodal models (image, audio) at scale, ensuring high-throughput, low-latency delivery and enabling research to production workflows. | Serve | 9 |
| Inference Technical Lead, Sora OpenAI is seeking a GPU Inference Engineer to optimize model serving efficiency, inference performance, and scalability for their multimodal foundation models, Sora. The role involves kernel-level systems, data movement, and low-level performance tuning to support the growth and reliability of AI systems. | Serve | 9 |
| Research Engineer Research Engineer role at OpenAI focused on building AI systems with unprecedented performance, requiring strong engineering skills in massive-scale distributed ML systems and algorithm science. The role emphasizes building and advancing AI capabilities. | Pretrain | 9 |
| TLM, Machine Learning, Integrity OpenAI's Integrity team, within Applied Engineering, is seeking an experienced Engineering Manager (Web Safety) to lead a team of senior Machine Learning Engineers. The role involves architecting and building next-generation system protections, directly contributing through hands-on design, model training, and deployment strategies. The team uses state-of-the-art models to detect and prevent problematic content, establishing robust evaluation frameworks and metrics. The role also includes managing and mentoring the team, and collaborating with Research, Safety, Product, and Policy teams. | Post-trainServe | 9 |
| Software Engineer, Model Inference Software Engineer focused on optimizing large AI models for high-volume, low-latency, and high-availability production and research environments. This role involves working with researchers and engineers to bring AI technologies into production, improving the inference stack's performance, and optimizing hardware utilization. | Serve | 9 |
| Researcher, Health AI Researcher focused on AI safety and alignment techniques for healthcare applications, aiming to improve model behavior, knowledge, and reasoning, and integrate these methods into core training and product launches. | Post-trainEval Gate | 9 |
| Researcher, Safety Oversight Researcher focused on AI safety, specifically developing methods for oversight of frontier AI models, identifying and mitigating misuse and misalignment, and improving models' reasoning about human values. The role involves developing AI monitor models, designing red-teaming pipelines, and collaborating with cross-functional teams. | Eval GatePost-train | 9 |
| Researcher, Trustworthy AI Researcher focused on AI safety and societal impacts, translating policy problems into technical research, building methods for public input into model values, and increasing rigor of external assurances for AI model deployments. | Eval Gate | 9 |
| Researcher, Alignment Research role focused on ensuring AI systems are safe, trustworthy, and aligned with human values, developing methodologies for robust intent following, and integrating human oversight. | Post-trainEval Gate | 9 |
| Research Engineer, Applied AI Engineering Research Engineer role focused on deploying and optimizing advanced ML models into production, transforming research into real-world applications. Involves collaboration, scaling data pipelines, and ensuring model performance and maintenance. | ShipServe | 9 |
| Software Engineer, Collective Communication Software Engineer focused on the collective communication stack for large-scale AI model training, using C++ and CUDA to optimize network performance on custom supercomputers. This role directly supports the training of OpenAI's flagship models and collaborates with ML researchers. | Data | 9 |
| Research Engineer, Retrieval & Search, Applied Engineering Research Engineer focused on retrieval and search algorithms and methodologies for production deployment in API and ChatGPT, involving novel research and collaboration with cross-functional teams. Requires experience in production ML systems, vector databases, and internet-scale search. | AgentServe | 9 |
| Researcher, Robustness & Safety Training Researcher focused on AI safety, specifically in training models for robustness, alignment, and adversarial resistance using techniques like RLHF. The role involves setting research directions and implementing improvements in OpenAI's products. | Post-train | 9 |
| AI Deployment Engineer AI Deployment Engineer role focused on partnering with strategic platform customers to identify, design, and implement Generative AI solutions using OpenAI's API and models. The role involves technical guidance, building prototypes, and ensuring successful deployment and scaling of AI applications. | Agent | 8 |