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

XML job scraping automation by YubHub