At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders. 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:
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ML Model Integration & Scaling: Porting, integrating, and scaling PyTorch ML models for robotics applications, including managing pretraining and large-scale training workflows.
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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.
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Feature Development & Exploration: Driving the development and shipment of robust new features, and actively exploring and integrating new technologies relevant to AI and Robotics.
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Community Engagement & Maintenance: Actively managing and merging community Pull Requests (PRs), handling reported issues, and acting as a technical liaison for the community.
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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:
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Graduated from an MS or PhD Degree in Computer Science, Machine Learning or a related field.
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A solid Machine Learning experience: Hands-on experience with PyTorch and developing abstractions for efficient ML development and deployment.
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ML Literature & Systems: Up-to-date knowledge of the robot learning literature and experience in integrating ML models into larger systems.
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Strong Software Skills: Exceptional coding skills (e.g., Python) with experience in building and managing complex, production-quality libraries.
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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
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