Hugging Face Careers 2026 — Hiring, Interviews, Salaries, Resume Tips

New York, USA · AI / ML Platform

⏱ 1 min readUpdated Sep 15, 2026AI-generated · verify before decisions

Hugging Face is a leading AI and machine learning platform based in New York, renowned for its open-source contributions and commitment to democratizing AI technology. Founded in 2016, the company has rapidly grown to become a key player in the natural language processing (NLP) space, providing tools and libraries that facilitate the development of AI models. Hugging Face fosters a collaborative and inclusive culture, emphasizing innovation and community engagement. The company values transparency and open-source principles, encouraging employees to contribute to projects that benefit the broader AI community. With a diverse team of experts, Hugging Face is dedicated to advancing AI research while maintaining a focus on ethical considerations in technology. As the demand for AI solutions continues to rise, Hugging Face is well-positioned for growth, making it an exciting place for professionals passionate about AI and ML.

Hiring trends

Increasing demand for roles in AI ethics and responsible AI development.
Growth in remote work opportunities across various positions.
Focus on diversity and inclusion in hiring practices.
Rising interest in internships and entry-level positions in AI.
Emphasis on candidates with open-source contributions.
Expanding roles in product management and user experience design.

Popular roles at Hugging Face

Machine Learning EngineerData ScientistResearch ScientistSoftware EngineerProduct ManagerDevOps EngineerAI Ethics SpecialistCommunity ManagerUX/UI DesignerIntern - Machine Learning

Typical tech stack

PythonTensorFlowPyTorchTransformersFastAPIDockerKubernetesHugging Face HubStreamlitJupyter NotebooksSQLGit

Interview process

1. Application Review

Candidates submit their resumes and cover letters, which are reviewed by the HR team. Shortlisted candidates are contacted for initial screenings.

2. Technical Screening

Selected candidates undergo a technical interview, often involving coding challenges or problem-solving tasks relevant to the role.

3. Team Interviews

Candidates meet with potential team members and managers. This stage assesses both technical skills and cultural fit within the team.

4. Final Interview

A final round interview with senior leadership or executives, focusing on strategic thinking, vision alignment, and long-term goals.

5. Offer and Negotiation

Successful candidates receive a job offer, which includes discussions around salary, benefits, and other employment terms.

Salary snapshot

Junior

$70,000 - $90,000

Mid

$90,000 - $130,000

Senior

$130,000 - $180,000

Principal

$180,000 - $250,000

Salaries can vary based on experience, location, and specific role responsibilities.

Resume tips for Hugging Face

Highlight relevant technical skills and projects.
Include contributions to open-source projects.
Showcase experience with AI/ML frameworks and tools.
Demonstrate problem-solving and analytical skills.
Tailor your resume to the specific role you are applying for.
Mention any collaborative or team-based projects.
Include metrics or results to quantify your impact.
Keep the format clean and professional.

Interview tips

Research Hugging Face's products and mission.
Prepare to discuss your previous projects in detail.
Practice coding problems relevant to the role.
Be ready to answer questions about AI ethics.
Show enthusiasm for open-source contributions.
Prepare thoughtful questions about the company culture.
Understand the latest trends in AI and ML.
Demonstrate your ability to work in a team environment.

FAQs

What is the company culture like at Hugging Face?

Hugging Face promotes a collaborative, inclusive, and innovative culture, emphasizing transparency and community engagement.

Are remote work options available?

Yes, Hugging Face offers flexible remote work opportunities for various roles.

What types of projects do employees work on?

Employees work on a range of projects, including developing AI models, contributing to open-source libraries, and enhancing user experience.

Is there a focus on diversity and inclusion in hiring?

Yes, Hugging Face actively seeks to promote diversity and inclusion within its workforce.

What skills are most valued at Hugging Face?

Technical expertise in AI/ML, problem-solving abilities, and a passion for open-source contributions are highly valued.

How does the interview process work?

The interview process typically includes application review, technical screening, team interviews, and a final interview with leadership.

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