1

Internship Huggingface Jobs in California (NOW HIRING)

Internship Huggingface information

What is the difference between Internship Huggingface vs Machine Learning Intern?

AspectInternship HuggingfaceMachine Learning Intern
Required CredentialsBasic programming skills, familiarity with NLP and AI conceptsKnowledge of machine learning algorithms, programming skills in Python
Work EnvironmentTech companies, AI startups, research labs focusing on NLP and AITech companies, research institutions, startups working on ML projects
Employer & Industry UsagePrimarily in AI and NLP-focused organizationsAcross various industries applying machine learning solutions
Search & Comparison IntentUnderstanding roles related to NLP and AI internshipsExploring ML internship opportunities and roles

Internship Huggingface typically focuses on NLP and AI-specific projects, requiring familiarity with NLP tools and frameworks. Machine Learning Internships cover broader ML topics, including algorithms and data modeling. Both roles are common in tech and research environments, but Internship Huggingface is more specialized in NLP applications.

What job categories do people searching Internship Huggingface jobs in California look for?

The top searched job categories for Internship Huggingface jobs in California are:

What cities in California are hiring for Internship Huggingface jobs?

Cities in California with the most Internship Huggingface job openings:

Infographic showing various Internship Huggingface job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Full-time

Re-posted 26 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.