Research Scientist

Tech Stack

Responsibilities

• Own research initiatives end-to-end, including problem formulation, experimental design, modeling, and evaluation.
• Develop novel architectures, training methods, and objectives leveraging longitudinal patient data.
• Work on verifiable reinforcement learning, mid-training, and post-training of foundation models.
• Design rigorous evaluation methodologies to assess model reasoning, correctness, and clinical relevance.
• Make and own tradeoffs between model capability, interpretability, and verifiability in high-stakes settings.

Benefits

• Equity
• Health Insurance

Culture

Requirements