Open-Source Machine Learning Engineer, Hugging Face

• 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

Desirable

• 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
• 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