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Internship Huggingface Jobs (NOW HIRING)

Microsoft

Research Intern - Self-Improving AI

Cambridge, MA · On-site

$6.7K - $13K/mo

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 ...

CHAMBERLAIN GROUP

Software Engineer I - AI

Oak Brook, IL · On-site

$53K - $100K/yr

Internship, coursework, or personal projects involving: Generative AI, Chatbots or assistants, AI ... OpenAI APIs, Claude, HuggingFace, LangChain, or similar frameworks (nice to have) Knowledge, Skills ...

NorthEastern

Data Scientist

Portland, ME

$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)

Northeastern University

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)

MIT Lincoln Laboratory

Computer Scientist

Lexington, MA · On-site

$100K - $120K/yr

Demonstrated problem-solving abilities through coursework, projects, or internships * Experience ... Experience with developing with Large Language Models APIs (e.g., HuggingFace, OpenAI/Anthropic ...

Adobe

Machine Learning Engineer

San Jose, CA · On-site

... internship experience in ML/AI applied to real-world problems) * Hands-on experience with Python and ML frameworks: scikit-learn, PyTorch, TensorFlow, HuggingFace, or LangChain * Practical knowledge ...

MIT Lincoln Laboratory

Computer Scientist

Lexington, MA · On-site

$100K - $120K/yr

Demonstrated problem-solving abilities through coursework, projects, or internships * Experience ... Experience with developing with Large Language Models APIs (e.g., HuggingFace, OpenAI/Anthropic ...

MIT Lincoln Laboratory

Computer Scientist

Lexington, MA · On-site

$100K - $120K/yr

Demonstrated problem-solving abilities through coursework, projects, or internships * Experience ... Experience with developing with Large Language Models APIs (e.g., HuggingFace, OpenAI/Anthropic ...

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How much do internship huggingface jobs pay per hour?

As of Jul 11, 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 are the key skills and qualifications needed to thrive as an intern at Hugging Face, and why are they important?

To thrive as an intern at Hugging Face, you generally need a solid background in computer science, machine learning, and programming languages like Python, often supported by relevant coursework or project experience. Familiarity with popular deep learning frameworks (such as PyTorch or TensorFlow), Git, and Hugging Face's Transformers library is typically expected. Strong problem-solving abilities, effective communication, and a collaborative mindset help interns contribute meaningfully to innovative projects. These skills and qualities are crucial for adapting quickly, delivering impactful work, and learning from a fast-paced AI research environment.

What is an Internship at Hugging Face?

An internship at Hugging Face is a temporary position designed for students or early-career professionals who want to gain practical experience in artificial intelligence, machine learning, or related fields. Interns work alongside experienced engineers and researchers on real-world projects, such as developing open-source tools, contributing to NLP models, or assisting with community engagement. The internship provides valuable exposure to cutting-edge AI technology, collaborative work environments, and opportunities to contribute to impactful projects. Interns often also benefit from mentorship and networking within the AI community.

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 types of projects do interns at Hugging Face typically work on, and how are these projects structured?

Interns at Hugging Face usually contribute to real-world open-source projects, such as improving machine learning models, enhancing libraries like Transformers, or supporting research initiatives. Projects are often collaborative, involving mentorship from experienced engineers and researchers, and typically follow agile workflows with regular check-ins. Interns are encouraged to propose ideas, participate in code reviews, and share their progress with the broader team, providing valuable exposure to both technical and community-driven aspects of AI development.
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Internship Huggingface jobs near you
Infographic showing various Internship Huggingface job openings in the United States as of July 2026, with employment types broken down into 50% As Needed, 19% Full Time, 29% Temporary, 1% Nights, and 1% Summer. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.
Research Intern - Self-Improving AI

Research Intern - Self-Improving AI

Microsoft

Cambridge, MA • On-site

$6.7K - $13K/mo

Internship

Re-posted 24 days ago

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

57th of 209 rated software companies

Job description

Overview
Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.
The Machine Learning/Artificial Intelligence (ML/AI) group at Microsoft Research NYC is looking for a Research Intern candidate with a background in language modeling and reinforcement learning, for a project on self-improving AI systems.
Responsibilities
Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.
Qualifications
Required Qualifications
  • Enrolled in PhD or master's program in machine learning, computer science, or related discipline.
  • At least 1 year of experience with deep learning, language modeling, and/or reinforcement learning.

Other Requirements
  • Research Interns are expected to be physically located in their manager's Microsoft worksite location for the duration of their internship.
  • In addition to the qualifications below, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

Preferred Qualifications
  • 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 per month.
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $7,270 - $12,030 per month.
Applied Sciences IC3 - The base pay range for this internship is USD $6,710 - $13,270 per month.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-intern-pay
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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