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Huggingface Internships Jobs (NOW HIRING)

Prior experience (fulltime or internship) in software development * Experience with deep learning, specifically NLP - PyTorch, HuggingFace, LLMs, etc. * Data science stack familiarity #J-18808-Ljbffr

Proficient in PyTorch, Python, and HuggingFace Transformers, with a good understanding of statistical analysis and shell programming * Must be fluent in English. * The duration of the internship is ...

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Infographic showing various Huggingface Internships job openings in the United States as of September 2026, with employment types broken down into 17% Internship, 69% Full Time, 10% Part Time, 1% Temporary, 1% Contract, and 2% Summer. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Internship

San Francisco, CA โ€ข On-site

Full-time

Re-posted 27 days ago


Job description

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.