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Staff ML Research Scientist

San Francisco💼 Full-time🗓 2025-10-16 → 2026-09-26

Core

Define and drive next-generation applied research in NLP and clinical AI to build production-scale systems that improve outcomes for doctors and patients.

Role type

Staff Machine Learning Research Scientist (Applied Research)

Builds

Production-scale AI systems for radiology, including LLMs, retrieval, and multimodal modeling

Domain

Healthcare AI / Radiology / NLP / Computer Vision

Deliverable

production ML models

Required skills

LLMs and NLP, computer vision, speech, recommendation/ranking, retrieval, multimodal modeling, experimental rigor, model deployment to production, system thinking, technical mentorship

Preferred skills

Health data familiarity (EHR/imaging), clinical NLP, external or multi-site validation, workflow integration with EHR/RIS/PACS, safety and governance in sensitive domains, publications or impactful open-source work

Technologies

PyTorch, MLflow, Databricks, Ray, Triton

Responsibilities

Own end-to-end applied research from problem framing to production and impact monitoring; Set technical direction and run ablations that change product decisions; Build evaluation linking offline metrics to online outcomes; Partner with engineering, product, and clinicians to align data and success criteria; Raise the bar by mentoring peers and codifying standards for reliability and safety; Improve the platform for data, training, serving, and observability

Seniority

Staff, hands-on IC with strategic scope

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