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HOME Data Science & ML Member of Technical Staff Intern, Applied AI
  • Genmd
  • Palo Alto, CA
  • 7 days ago
  • $45–$60 / hour
Genmd VERIFIED EMPLOYER

Member of Technical Staff Intern, Applied AI.

Data Science & ML
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Member of Technical Staff Intern, Applied AI: our view in 3 lines...

  • The Role:This internship involves building AI and data systems that make large healthcare datasets usable for researchers and AI teams.
  • The Person:The intern will prototype and ship LLM features for an AI research assistant, build data pipelines for healthcare datasets, and run experiments and evaluations presented at a Friday showcase.
  • Requirements:The ideal candidate has strong Python, experience with LLM APIs, PyTorch or Hugging Face, and is comfortable with SQL and messy real-world data.

About the role

About GenMD

GenMD is a Stanford spin-off building AI and data infrastructure for healthcare. We grew out of years of work inside Stanford Medicine, alongside world-class researchers and clinicians, and we now work with health systems and data partners on large longitudinal datasets: claims, health records, imaging and clinical notes. We make that data usable for researchers and frontier AI, while patient privacy stays protected.

We're just coming out of stealth, already revenue-generating and well funded. We're intentionally small, move fast, and are focused on building something fundamental. Our CEO is a former Associate Director of AI at Stanford Medicine. See how we work: https://genmd.ai/careers

About the role

You'll work on real problems from your first week: the AI and data systems behind Healthcare Datahub and our work with frontier AI teams. You'll have a named mentor, and you'll own projects end to end, from scoping to shipped.

What you'll work on

  • Prototype and ship LLM features for Mira, our AI research assistant: dataset matching, cohort exploration and code generation.

  • Build data pipelines that turn raw healthcare datasets into documented, searchable, analysis-ready products.

  • Run experiments and evaluations, and present what you find at our Friday showcase.

What we're looking for

  • Currently pursuing a B.S., M.S. or Ph.D. in CS, AI/ML, data science, biomedical informatics or a related field.

  • Strong Python; experience with LLM APIs, PyTorch or Hugging Face.

  • Comfortable with SQL and messy real-world data.

  • Curious and self-directed; you'd rather ship something and learn than wait for a perfect spec.

Logistics

  • Spring, summer and fall terms; start dates are flexible.

Compensation

$45 – $60 per hour, depending on degree level and experience.

Published November 3, 2026
Location Palo Alto, CA
Category Data Science & ML  

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