1

Huggingface Internships Jobs (NOW HIRING)

Experience with deep learning and language modeling frameworks including pytorch, huggingface transformers, vLLM. Applied Sciences IC2 - The base pay range for this internship is USD $5,610 - $11,010 ...

... internships, co-ops, academic research, or applied capstone projects is acceptable. • Solid ... PyTorch, TensorFlow, HuggingFace). • Ability to clearly communicate analytical findings to ...

Internship, coursework, or personal projects involving: o Generative AI o Chatbots or assistants o ... HuggingFace o LangChain or similar frameworks (nice to have) Portfolio, GitHub, or demo projects ...

Experience gained through internships, co-ops, academic research, or applied capstone projects is ... Familiarity with at least one ML or deep learning framework (e.g., PyTorch, TensorFlow, HuggingFace)

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

Experience gained through internships, co-ops, academic research, or applied capstone projects is ... Familiarity with at least one ML or deep learning framework (e.g., PyTorch, TensorFlow, HuggingFace)

$153 - $210/hr

It is not intended for internship, new graduate, or entry-level applicants. The impact you will ... such as HuggingFace, LangChain, and DSPy * Expertise in deploying production-grade GenAI ...

Huggingface Internships information

What cities are hiring for Huggingface Internships jobs?

Cities with the most Huggingface Internships job openings:

What states have the most Huggingface Internships jobs?

States with the most job openings for Huggingface Internships jobs include:

What job categories do people searching Huggingface Internships jobs look for?

The top searched job categories for Huggingface Internships jobs are:

Infographic showing various Huggingface Internships job openings in the United States as of August 2026, with employment types broken down into 9% Internship, 1% As Needed, 76% Full Time, 13% Part Time, and 1% Contract. Highlights an 91% Physical, 5% Hybrid, and 4% Remote job distribution.

Full-time

Re-posted 6 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.