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 2M models, 700k datasets & 600k apps. Our open-source libraries have more than 600k+ stars on Github.
About the Role
We are seeking a versatile and passionate Open-Source Machine Learning Engineer to join our team in Paris. You will play a crucial role in developing, integrating, and maintaining the core library, focusing on making state-of-the-art *AI for Robotics* accessible to the community.
Your main missions:
- ML Model Integration & Scaling: Porting, integrating, and scaling PyTorch ML models for robotics applications, including managing pretraining and large-scale training workflows.
- Core Library Development: Refactoring, managing, and improving the core library's API, architecture, and infrastructure to ensure it is robust, scalable, and easy to use.
- Feature Development & Exploration: Driving the development and shipment of robust new features, and actively exploring and integrating new technologies relevant to AI and Robotics.
- Community Engagement & Maintenance: Actively managing and merging community Pull Requests (PRs), handling reported issues, and acting as a technical liaison for the community.
- Infrastructure & Benchmarking: Implementing and maintaining integrations with platforms like the Hugging Face (HF) Hub, performing benchmarking & profiling to ensure performance, and managing library dependencies.
About you
- Graduated from an MS or PhD Degree in Computer Science, Machine Learning or a related field.
- A solid Machine Learning experience: Hands-on experience with PyTorch and developing abstractions for efficient ML development and deployment.
- ML Literature & Systems: Up-to-date knowledge of the robot learning literature and experience in integrating ML models into larger systems.
- Strong Software Skills: Exceptional coding skills (e.g., Python) with experience in building and managing complex, production-quality libraries.
- Software Design & Maintenance: Proven ability to manage a library's technical lifecycle, including refactoring, maintaining API stability, and dependencies management
Bonus points:
- Any previous experience contributing to open source libraries in the robotics fields and especially on LeRobot
If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and background complement one another. We're happy to consider where you might be able to make the biggest impact.
More about Hugging Face
We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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.
Requirements
Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills, potential expertise, and topics on which you would like to work.
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What We Do
Hugging Face is the leading open platform for AI builders. For researchers, Hugging Face is the place to publish models and collaborate with the community. For data scientists, it’s where you can explore over 300k off-the-shelf models for any machine learning task and create your own. For software developers, it’s where you can turn data and models into applications and features. Today, we host over 1 million models, datasets, and applications (including the latest Large Language Models and creative Generative AI experiences) that millions of people use every month. Our mission is to democratize good machine learning. We do this through open science (with projects like BigScience and BigCode), open source (with libraries like transformers, diffusers), and our commercial products and services to accelerate the adoption of good machine learning at companies.
Why Work With Us
We are a decentralized, global, hybrid company that wants you to spend your day focused on the work that excites you. We have an asynchronous communication style and an experimentation-heavy culture. We have a strong bias for impact, a generalist & diverse mindset, and a kind ambition.
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