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 |
|---|---|---|
| Researcher, Loss of Control Researcher focused on mitigating loss of control risk in frontier AI models, designing and implementing an end-to-end mitigation stack for preventing, monitoring, detecting, containing, and enforcing against intentionally subversive or insufficiently controllable model behavior. This involves integrating safeguards across products and research, evaluating technical trade-offs, collaborating with risk modeling and evaluations teams, and executing rigorous testing and red-teaming workflows against advanced AI behaviors like sandbagging, monitor evasion, exploit-seeking, unsafe tool use, or strategic deception. | AgentEval Gate | 10 |
| Security Researcher, Agentic AI Threats Research role focused on mitigating AI threats to global security, specifically by identifying and preparing for security threats from advanced internal AI agents. The role involves designing security controls and stress-testing defenses with AI agent evaluations. |
| Agent |
| 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 |
| 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, 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 |
| 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 |