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, Training - London Researcher focused on pushing the frontier of LLM development, enhancing intelligence, efficiency, and adding new capabilities through research into architecture design, long-context, efficient attention, optimization, and scaling. The role involves designing, prototyping, and scaling new architectures, executing and analyzing experiments, optimizing model and computational performance, and contributing to training and inference infrastructure. Experience with major LLM training runs and evaluating deep learning architectures is desired. | Pretrain | 10 |
| Researcher, Training Researcher focused on developing and scaling new LLM architectures to improve intelligence and efficiency, with contributions to training and inference infrastructure. Requires deep understanding of LLM architectures and an empirical approach. | Pretrain |
| 10 |
| Research Scientist Research Scientist roles at OpenAI focusing on developing innovative machine learning techniques and advancing the research agenda, with a focus on discovering generalizable ideas and contributing to a broad research vision. The role emphasizes owning a research agenda and pursuing long-running projects. | Pretrain | 10 |
| 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 |
| 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 |