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Open-Source Machine Learning Engineer for AI in Robotics - Paris Office

Hugging FaceParis, Île-de-France, France
On-site Full-time

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Experience Level

Experience

Qualifications

MS or PhD in Computer Science, Machine Learning, or related field. Hands-on experience with PyTorch and efficient ML development. Knowledge of robot learning literature and ML model integration. Exceptional coding skills in Python and experience with production-quality libraries. Proven ability to manage technical lifecycles, ensuring API stability and managing dependencies.

About the job

At Hugging Face, we are committed to making AI accessible for everyone. Join us in building the fastest-growing platform for AI enthusiasts, boasting over 11 million users who have collectively shared more than 2 million models, 700,000 datasets, and 600,000 applications. Our open-source libraries have garnered over 600,000 stars on GitHub.

About the Role

We are looking for a talented and enthusiastic Open-Source Machine Learning Engineer to join our Paris team. In this pivotal role, you will be responsible for developing, integrating, and maintaining our core library, ensuring that cutting-edge AI for Robotics technology is accessible to our community.

Your main responsibilities will include:

  • ML Model Integration & Scaling: Port and scale PyTorch ML models for robotics applications, managing pretraining and large-scale training workflows.
  • Core Library Development: Refactor, manage, and improve the API, architecture, and infrastructure of the core library to ensure robustness, scalability, and user-friendliness.
  • Feature Development & Exploration: Lead the development and deployment of new, robust features while exploring and integrating new technologies relevant to AI and robotics.
  • Community Engagement & Maintenance: Manage and merge community pull requests (PRs), address reported issues, and serve as a technical liaison for the community.
  • Infrastructure & Benchmarking: Implement and maintain integrations with platforms like the Hugging Face Hub, perform benchmarking and profiling to ensure optimal performance, and manage library dependencies.

About You

  • Education: MS or PhD in Computer Science, Machine Learning, or a related field.
  • Machine Learning Expertise: Hands-on experience with PyTorch and a solid understanding of efficient ML development and deployment abstractions.
  • ML Literature & Systems Knowledge: Familiarity with current robot learning literature and experience in integrating ML models into larger systems.
  • Strong Software Development Skills: Exceptional coding ability (e.g., Python) with experience in building and maintaining complex, production-quality libraries.
  • Software Design & Maintenance: Proven track record in managing the technical lifecycle of a library, including refactoring, maintaining API stability, and dependency management.

Bonus Points:

  • Prior contributions to open-source libraries in robotics, particularly on LeRobot.

If you are eager to join us but don’t meet every qualification, we still encourage you to apply! We aim to build a diverse team with a wide range of skills, experiences, and backgrounds.

About Hugging Face

Hugging Face is at the forefront of democratizing AI, creating a thriving ecosystem for developers and researchers. With a commitment to open-source technology, we provide a powerful platform that empowers millions to innovate and build the future of artificial intelligence.

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