Research Engineer / Research Scientist, Health

OpenAI
San Francisco
Workplace: HybridFull timeUSD 295,000 - 555,000 annuallyFunction: Data Science & Machine LearningSkills: ["Ownership","Alignment","Velocity","Research taste","Collaboration","Goal-orientation","Low-ego","Attention to safety"]

Build frontier health capabilities and drive them from an underdefined problem (0→1) into measurable improvements in the models and products shipped to patients and clinicians. Own research end-to-end: define the bet, design and run experiments, integrate results into pretraining/midtraining/RL/post-training and create trustworthy evaluations. Work with researchers, engineers, clinicians, and product teams to improve health reasoning, reliability, calibration, and real-world outcomes.

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FursaFursa
OpenAI
OpenAI
3 days ago

Research Engineer / Research Scientist, Health

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Build frontier health capabilities and drive them from an underdefined problem (0→1) into measurable improvements in the models and products shipped to patients and clinicians. Own research end-to-end: define the bet, design and run experiments, integrate results into pretraining/midtraining/RL/post-training and create trustworthy evaluations. Work with researchers, engineers, clinicians, and product teams to improve health reasoning, reliability, calibration, and real-world outcomes.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Own a high-leverage research direction end to end, from deciding the problem and measurement to integrating successful work into frontier models.
  • •Develop scalable methods across pretraining, midtraining, reinforcement learning, and post-training to improve health reasoning, knowledge, reliability, calibration, and behavior.
  • •Build and study RL environments grounded in real health problems to produce robust, generalizable improvements beyond benchmark gains.
  • •Create meaningful, trustworthy, and unsaturated evaluations to determine whether models are improving at what matters for patients and clinicians.
  • •Develop models and agents for longitudinal, multimodal health data to produce useful predictions and support better individual- and population-level decisions.

Pay and Benefits

Salary: USD 295,000 - 555,000 annually
Equity and Bonus:Equity
Perks:Relocation

Key Requirements

  • •Unusually strong track record in machine learning or AI research with depth in pretraining, reinforcement learning/post-training, or evaluations (not necessarily health-specific).
  • •Substantial depth in a relevant frontier health or biomedical AI problem, with research excellence, velocity, ownership, and mission alignment.
  • •Hands-on builder: design experiments, write and debug code, work directly with data and training infrastructure, and move quickly from idea to evidence.
  • •Experience grounding work in real health problems by building and studying RL environments, understanding which setups generalize beyond benchmarks.
  • •Ability to own ambiguous problems end to end, learning whatever is missing, and focusing on scalable, trustworthy impact rather than only demos or prototypes.
Experience:HealthcareBiomedical AIMachine learningReinforcement learningPost-trainingEvaluationsFrontier AI
Skills:OwnershipAlignmentVelocityResearch tasteCollaborationGoal-orientationLow-egoAttention to safety

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
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