Most Loved Workplace® Certified Job

Open-Source Machine Learning Engineer - US Remote

Most Loved Workplace® Certified Job

92% of candidates apply because they are a Most Loved Workplace®

Remote, New York, NY, USA

Full-time

About the Role

At Hugging Face, a Most Loved Workplace® certified employer in the Technology space, Democratizing AI through open-source tools and collaborative innovation.

As an Open-Source Machine Learning Engineer at Hugging Face, you'll improve ML libraries, work with the community, and contribute to open-source projects. At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 4 million models, 1 million datasets & 1.5 million Gradio apps. Our open-source libraries have more than 700,000 stars on Github. As an Open-Source Machine Learning Engineer, you'll work to improve the open-source machine learning ecosystem. You'll mainly work on existing open-source libraries such as Transformers, Datasets, Pytorch and vLLM, and you'll interact with users and contributors across the broad open-source ML ecosystem. We'll brainstorm with you to put you in a position to do the work that interests you and that is impactful. You'll help foster one of the most active machine learning communities, helping users contribute to and use the tools you build. You'll work with researchers, ML practitioners, and data scientists every day through GitHub, our forums, and Slack.

Want to learn more about what it's like to work at Hugging Face? View our full profile.

Requirements

Strong Python skills, with experience writing clean, well-tested, maintainable library code
Deep hands-on experience with a modern deep-learning framework, especially PyTorch (JAX or TensorFlow a plus)
Practical experience with the Hugging Face open-source stack (Transformers, Datasets, Accelerate) or comparable ML libraries
A public track record of open-source contributions, for example merged pull requests to ML or data libraries, that we can review on GitHub
Solid understanding of modern machine learning and deep learning, including transformer architectures
Experience collaborating with a technical community in the open (GitHub issues and reviews, forums, Slack or Discord)
Fluent written English for asynchronous collaboration across a distributed, global community
Experience maintaining an open-source project (Nice to have)
Prior contributions to Transformers, Datasets, Accelerate, or similar libraries (Nice to have)
Familiarity with distributed training, inference optimization, or GPU/accelerator performance work (Nice to have)
Experience training or fine-tuning models at scale (Nice to have)

Benefits

We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.
We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off.
We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.
We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.
We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

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Why This Is a Most Loved Workplace® Certified Job

What It's Like to Work Here

Zap Move Fast, Stay Focused

Users Pluralism & Decentralized Thinking

Heart Kind Ambition

Globe Open Source DNA

Lightbulb Continuous Learning & Growth

Compass Mission-Driven Work

Frequently Asked Questions About Working at Hugging Face

Common questions candidates ask about this role and Hugging Face's workplace

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

This position is listed as remote based on the job location.

Salary information may vary by role and location. Please check the specific job listing or discuss compensation during the interview process.

Hugging Face is an established organization in its industry. The company focuses on maintaining a supportive workplace culture for all employees.

Key benefit categories include: Health & Wellness, Work-Life Balance, Professional Development, Compensation & Equity. For this role specifically, benefits include: We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education., We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off., We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed., We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside., We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.. You can view more details on their CertCheck profile.

The day-to-day environment is guided by core values such as Move Fast, Stay Focused and Pluralism & Decentralized Thinking and Kind Ambition.

The company has committed to inclusive practices including: Democratizing AI for All and Fostering Inclusive Innovation.

Hugging Face has a supportive and collaborative culture, recognized as a loved place to work by its team members.

Hugging Face currently has 3 open positions. You can view all current openings at certcheck.mostlovedworkplace.com/companies/hugging-face/jobs.

The interview process typically involves an initial recruiter screen followed by team interviews. Please contact Hugging Face's recruiting team for specific details on this role's process.