ML Engineer (Entry Level)

About This Role

Hugging Face is hiring entry-level ML Engineers to contribute to the open-source AI ecosystem — building and maintaining transformer model libraries, datasets, and inference tools used by millions of researchers and developers worldwide. This is a rare chance to work at the center of the open-source AI community from the start of your career.

Job Overview

• Job Title: ML Engineer (Entry Level)
• Company: Hugging Face
• Location: New York, NY / San Francisco, CA / Seattle, WA (Remote-friendly)
• Job Type: Full-time
• Experience Level: Entry-level (0–2 years)
• Salary Range: $40–$55/hr
• Posted Date: 2026-06-01
• Application Deadline: 2026-07-01

Role Context

Hugging Face operates as a fully remote-first company with a small, distributed team. Entry-level MLEs contribute to Transformers, Diffusers, PEFT, and other open-source libraries that power most of the world's NLP and generative AI research. You will write code that is read and used by hundreds of thousands of developers daily on GitHub and the Hugging Face Hub.

Key Responsibilities

• Implement and maintain model architectures and tokenizers in the Transformers library
• Add support for new models and features in Diffusers and related libraries
• Write high-quality Python code with thorough tests and documentation
• Review community pull requests and engage with open-source contributors
• Build model cards, dataset cards, and educational content for the Hugging Face Hub
• Collaborate asynchronously with a globally distributed team via GitHub and Slack

Requirements & Skills

• Bachelor's or Master's in CS or a related technical field (2024–2025 grad)
• Strong Python skills and deep familiarity with the Hugging Face ecosystem (Transformers, Datasets)
• Hands-on PyTorch experience and understanding of transformer architectures
• Open-source contribution history is a significant advantage — GitHub portfolio expected
• Excellent written communication in English for async remote collaboration
• Self-directed work style and comfort working across time zones

Benefits & Work Conditions

• $40–$55/hr with Hugging Face equity and remote work from anywhere in the US
• Fully remote — no office requirement
• $2,000 annual home office setup stipend
• Health, dental, and vision benefits
• Unlimited PTO and flexible async work schedule

Who Should Apply

New grads who are genuinely embedded in the open-source ML community, have a GitHub profile showing real contributions, and want their daily work to directly advance the open-source AI ecosystem. Hugging Face is small, moves fast, and values demonstrated initiative over credentials.

About the Company

Hugging Face is the leading open-source AI platform, hosting over 1 million models and 200,000 datasets on the Hugging Face Hub. Its Transformers, Diffusers, and Datasets libraries are used by virtually every AI research team globally, making it the de facto standard infrastructure for modern NLP and generative AI.

How to Apply

Apply at apply.workable.com/huggingface. A strong application includes a GitHub link showing relevant ML or open-source work. The process involves a technical discussion about your ML background, a code review exercise, and conversations with team members you would work alongside.