# Internship at Kinetic Systems

- Company: Kinetic Systems
- Location: San Francisco, CA
- Type: Internship · Internship
- Posted: 2026-06-18
- Apply: https://jobs.ashbyhq.com/kineticsystems/209873f8-541e-4afe-9782-78487dffb734
- Page: https://newgrad.ai/jobs/internship-bac997fd

## Summary by newgrad.ai

What you'll do:

- Work across product, research, model training, evaluations, and infrastructure.
- Commit to a full-time, in-person role in San Francisco.
- Complete an internship lasting at least 3 months.

What they're looking for:

- Proficiency with PyTorch, HuggingFace, or comparable machine learning libraries.
- Knowledge of RLEs, benchmarking, evaluations, and post-training workflows.
- Interest in applying artificial intelligence to healthcare challenges.

## Posting

Kinetic Systems is an applied research lab building data infrastructure for the autonomous hospital. We spun out of the Stanford PhD program in 2025 and are backed by General Catalyst. Our mission is to advance the capabilities of frontier models for solving clinically and economically meaningful healthcare tasks.

### THE ROLE

As an Intern, you’ll get hands-on experience across the full stack of what we do: product, research, training, evals, and infrastructure. Note: This is a full-time role, required to be in-person in SF. Internships must be at least 3-months.

### WHAT YOU’LL DO

- Whatever it takes! Please read the other job descriptions to get a sense of what we do

### WHO YOU ARE

- Have experience with PyTorch, HuggingFace, or similar libraries
- Familiar with best practices around RLEs, benchmarks, evals, and post-training
- Interested in healthcare as an application (prior background not necessary)

### WHY US

If you join our team, you will be joining a team with leading healthcare + AI expertise, and an opportunity to help advance AI research in one of its most meaningful application areas.

From Kinetic Systems's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.

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