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OpenAI•29 days ago

Research Engineer / Research Scientist, Health

hybrid🇺🇸USSan Francisco, CAsenior

Recruiter Fit Breakdown & Candid Summary

1

This role is for exceptional, hands-on machine learning researchers and scientists who want to drive 0-1 health capabilities across the full model stack from pretraining to deployment. Ideal cand

2

Standard role matching posting requirements.

3

Standard role matching posting requirements.

Role Responsibilities

  • 1Own a high-leverage research direction end to end from problem selection and measurement to experiment execution and model integration.
  • 2Develop scalable methods across pretraining, midtraining, reinforcement learning, and post-training to improve health reasoning, reliability, and calibrati
  • 3Build and study RL environments grounded in real health problems to produce robust, generalizable improvements.
  • 4Create meaningful, trustworthy, and unsaturated evaluations to measure model improvements for patients and clinicians.
  • 5Work closely with researchers, engineers, clinicians, and product teams to bring health capabilities into products used at scale.

Skills Matrix

Must-Have Skills

4 required
Machine Learning(ML)
Reinforcement Learning(RL)
Pretraining
Model Evaluation(evals)

Nice-to-Have Skills

2 preferred
Biomedical AI
Healthcare Domain Experience
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