Internship
- Location
- San Francisco, CA · On-site
- Job type
- Full-time
- Level
- Entry level
- Listed
- 30 days ago
Skills & highlights for this role
- PyTorch
- HuggingFace
- reinforcement learning
- benchmarking and evals
Also useful
- post-training
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.
About Kinetic Systems
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.
From Kinetic Systems's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
Rolev.ai is a job search and application tool for US job seekers. For this Internship role at Kinetic Systems, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.
See how you fit
Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.
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The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.
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Common questions
Where is the Internship job at Kinetic Systems located?
This Internship position at Kinetic Systems is located in San Francisco, CA (On-site). Always check Kinetic Systems's application page for specific state eligibility or relocation policies.
What qualifications are required for Internship at Kinetic Systems?
For the Internship role, Kinetic Systems highlights experience with PyTorch, HuggingFace, reinforcement learning, benchmarking and evals. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Internship position at Kinetic Systems?
This listing links directly to Kinetic Systems's Ashby application page. You can apply directly on Kinetic Systems's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.