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Internship Huggingface 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 ...

New

Internship Huggingface information

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$21

How much do internship huggingface jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for internship huggingface in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

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.

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What cities are hiring for Internship Huggingface jobs?

Cities with the most Internship Huggingface job openings:

What are the most commonly searched types of Huggingface jobs?

The most popular types of Huggingface jobs are:

What states have the most Internship Huggingface jobs?

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

Infographic showing various Internship Huggingface job openings in the United States as of August 2026, with employment types broken down into 10% Internship, 56% Full Time, 32% Part Time, 1% Temporary, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.

Full-time

Re-posted 3 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.