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Internship Huggingface Jobs (NOW HIRING)

Microsoft

Research Intern - Self-Improving AI

Cambridge, MA · On-site

$6.71K - $13.27K/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 ...

MIT Lincoln Laboratory

Computer Scientist

Lexington, MA · On-site

... internships • Experience with version control systems (e.g., Git) and collaborative software ... HuggingFace, OpenAI/Anthropic/Google, ollama, vLLM) • Experience with databases and query ...

Fuel Cycle

AI Engineering & Operations Intern

Los Angeles, CA · On-site

$16.50 - $21.50/hr

... Anthropic, HuggingFace) to improve operational efficiency. * Develop and refine prompts, chains ... Experience: Previous internship, coursework, or project work involving LLMs, AI application ...

New

Nvidia

OR

... stack (e.g., HuggingFace, vLLM, distributed training). * Strong research background with ... Our internship hourly rates are a standard pay based on the position, your location, year in school ...

Northeastern University

Data Scientist

Portland, ME · On-site

$87.79K - $124K/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

Data Scientist

Portland, ME

$87.79K - $124K/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

$100.20K - $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

$100.20K - $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

$100.20K - $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 ...

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How much do internship huggingface jobs pay per hour?

As of May 30, 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 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.

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.

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Internship Huggingface jobs near you
Infographic showing various Internship Huggingface job openings in the United States as of May 2026, with employment types broken down into 71% Internship, 10% As Needed, 6% Full Time, and 13% Temporary. Highlights an 100% Physical job distribution, with an average salary of $32,333 per year, or $15.5 per hour.
Rackner AI Innovation Fellowship (Startup Accelerator Internship)

Rackner AI Innovation Fellowship (Startup Accelerator Internship)

Rackner

College Park, MD

Other

Posted 23 days ago

Job description

Title: Rackner AI Innovation Fellowship (Startup Accelerator Internship)

Location: College Park (Hybrid - ~50% Minimum In-Person)

 Who We Are

Rackner is a cloud-native software consultancy delivering innovative solutions for startups, enterprises, and the public sector. We are a fast-growing, mission-driven organization focused on solving complex challenges through cutting-edge technologies.

Our expertise spans end-to-end application development, DevSecOps, AI/ML, and systems architecture, with a strong emphasis on cloud-first and cost-effective innovation. We partner with organizations ranging from early-stage startups to large federal agencies, enabling digital transformation and delivering high-impact, scalable solutions.

Position Overview

The Rackner AI Innovation Fellowship is a hands-on research and development program designed to explore and build next-generation solutions using artificial intelligence, cloud computing, and emerging technologies.

This fellowship offers a unique opportunity for students and early-career technologists to work in a startup-like environment while gaining real-world experience developing impactful solutions aligned with Rackner's mission.

The program runs year-round, with:

  • Part-time participation during the academic year
  • Full-time engagement during the summer

Fellows will work in collaborative teams (ideally groups of 2-3 participants) to take ideas from concept to prototype, focusing on real-world applications, scalability, and measurable impact. Teams that already have strong working relationships are encouraged to apply together.

Each team will receive funding for cloud infrastructure and AI tools to support development. At the conclusion of the program, teams will present their solutions, findings, and working prototypes to Rackner leadership.

Key Responsibilities

  • Collaborate in small teams to design, develop, and prototype innovative AI/ML and cloud-based solutions
  • Conduct research on emerging technologies, including LLMs, cloud platforms, and cybersecurity frameworks
  • Build and deploy applications using modern cloud platforms (AWS, Azure, or GCP)
  • Develop proof-of-concept solutions with measurable impact
  • Apply software engineering best practices (version control, testing, documentation)
  • Analyze technical feasibility and potential business value of solutions
  • Present findings, demos, and final prototypes to leadership
  • Manage project timelines and contribute to team-based innovation

Focus Areas

  • Large Language Models (LLMs) and AI-enabled applications
  • Cloud-native development and distributed systems
  • Cybersecurity and secure system design
  • B2B platforms and enterprise solutions
  • Government and public sector technology

Qualifications (Required)

  • Must reside in a HUBZone
    (Verify eligibility: https://maps.certify.sba.gov/hubzone/map)
  • Ability to participate in a hybrid model (~50% in-person in College Park)
  • Currently enrolled student or recent graduate in a relevant field

Preferred Qualifications

  • Background in Computer Science, Software Engineering, Data Science, or Business
  • Strong preference for candidates with software development experience
  • Experience with programming languages such as Python, JavaScript, or Java
  • Familiarity with AI/ML tools (TensorFlow, PyTorch, HuggingFace)
  • Knowledge of cloud platforms (AWS, Azure, GCP)
  • Understanding of APIs, microservices, or distributed systems

Candidate Profile (What We're Looking For)

  • HUBZone candidates strongly encouraged to apply
    (Goal: Build a cohort of at least 9 HUBZone participants, including current interns)
  • Team-oriented applicants
    • Preference for candidates applying in teams of 2-3
    • Teams with prior working relationships or strong collaboration experience are highly encouraged
  • Balanced technical + business mindset
    • Ideal team composition: 2 technical (software-focused) + 1 business-oriented member
    • Candidates with business, product, or entrepreneurial experience are a plus
  • High energy and motivation
    • Demonstrated strong work ethic
    • Passion for innovation, problem-solving, and building new solutions
    • Ability to thrive in fast-paced, ambiguous, startup-like environments

 Startup Accelerator Opportunity

Participants will have the opportunity to convert their project into a startup by buying back their intellectual property (IP) in exchange for equity, creating a direct pathway from fellowship to entrepreneurship.

Additional Benefits

  • Industry-leading weekly pay schedule
  • Hybrid work environment with strong in-person collaboration
  • Access to cutting-edge AI tools and cloud resources
  • Professional development and certification support
  • Opportunity to build real-world portfolio projects
  • Exposure to startup and enterprise innovation
  • Home office support

Why Join Rackner?

This fellowship is more than an internship, it's an opportunity to innovate, build, and potentially launch your own venture while working on impactful technologies that support both commercial and federal missions.

Apply