Member of Technical Staff Intern, Applied AI

Palo Alto, CAOnsiteInternshipStaff$45–$60 /hrPosted 4 days agoVisa sponsorship available

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Required skills

Python
LLM APIs
PyTorch
Hugging Face
SQL
messy real-world data
data pipelines
experiments
evaluations

Nice to have

B.S
M.S
CS
AI/ML
data science
biomedical informatics

Role summary

GenMD, a Stanford spin-off focused on AI and data infrastructure for healthcare, is seeking an AI/ML Intern to work on real-world problems within their Healthcare Datahub. The intern will prototype and ship LLM features for their AI research assistant, build data pipelines for healthcare datasets, and run experiments. The role requires strong Python, experience with LLM APIs, PyTorch or Hugging Face, and comfort with SQL and messy data. The ideal candidate is curious, self-directed, and eager to ship and learn. This is a paid internship with flexible start dates.

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.

Ready to apply?

You'll be redirected to GenMD's application page.