Frontier Health AI Research Engineer

OpenAI; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Relocation assistance

Hybrid work model

Job summary

OpenAI is seeking an exceptional researcher to build frontier health capabilities and translate them into measurable impact at scale. The role focuses on testing high‑leverage ideas from problem identification through experimentation and deployment into frontier models and products.

The candidate should have strong ML/AI research depth, be a hands‑on builder, and possess a track record in advancing pretraining, RL/post‑training, or health‑focused AI problems.

Qualifications

• Proven track record in ML/AI research with impact.
• Ability to design experiments and test new capabilities at scale.
• Experience with health AI, longitudinal health data, or clinical research is a plus.

Responsibilities

• Own a high‑leverage research direction end to end, from problem selection to measurable model improvement.
• Develop scalable methods across pretraining, RL, and post‑training to improve health reasoning and behavior.
• Build RL environments grounded in real health problems and study data/training setups for robust gains.
• Create evaluations that reflect real health outcomes for patients and clinicians.

Skills

Machine learning

AI research

Reinforcement learning

Pretraining

Health AI

Education

PhD in ML/CS/Biomed

Job description

OpenAI is seeking an exceptional researcher to build frontier health capabilities and translate them into measurable impact at scale. The role focuses on testing high‑leverage ideas from problem identification through experimentation and deployment into frontier models and products.

The candidate should have strong ML/AI research depth, be a hands‑on builder, and possess a track record in advancing pretraining, RL/post‑training, or health‑focused AI problems.