Staff ML Research Scientist

What you'll do

• Own applied research end to end, from framing problems and designing experiments to production deployment and impact monitoring.
• Set technical direction and develop evaluation, reliability, safety, and observability standards for ML systems.
• Collaborate with engineering, product, and clinical experts; improve ML infrastructure and mentor peers.

What they ask for

• MS or PhD (or equivalent research experience) in a relevant quantitative field.
• 7+ years of applied ML research experience, or PhD + 5 years, or equivalent evidence of Staff-level impact.
• Depth in one or more areas including LLMs and NLP, computer vision, speech, recommendation/ranking, retrieval, or multimodal modeling.
• Experience taking models to production; experimental rigor and hands-on experience with PyTorch and common experiment/ops tools.

Nice to have

• Familiarity with health data, EHR or imaging, and clinical workflow systems.
• Experience with safety and governance in sensitive domains, external or multi-site validation, mentorship, publications, or impactful open-source work.

Pay

$190K – $265K • Offers Equity

Tools

LLMs, NLP, PyTorch, MLflow, Databricks, Ray, Triton, EHR

AI focus

Applied research and production deployment of NLP and clinical AI, including LLMs, retrieval, representation learning, speech, and multimodal modeling; computer vision and vision-language work are also mentioned.