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Open-Source Machine Learning Engineer (AI for Robotics) Hugging Face
Community-driven platform for ML models.
Permanent
Paris
Remote: Not specified
Salary: Not specified
> 1 year
You'll be part of
667 employees
Software
Artificial Intelligence / Machine Learning
Our take
Large language models, which recognise and generate text, are already being used to auto-complete sentences, power chatbots, moderate content, summarise news articles, and translate text online. However, many of these advances are happening behind closed doors, stifling innovation and raising ethical concerns. To combat this, Hugging Face is building the "GitHub of machine learning". It’s a community-driven platform with a ton of repositories, where developers can create, discover and collaborate on ML models, datasets and ML apps. This work led to the creation of BLOOM in 2022, an open-access LLM with similar architecture to OpenAI’s GPT, but that is multilingual by design. The company also launched the Hugging Chat Assistant, an open-source tool creating personalised chat assistants, in direct competition with OpenAI's paid service ChatGPT Plus. By continually creating value based on a global community, not just for Microsoft or Google, HuggingFace should be able to carve out its own path for success.
You'll be working on
- 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
Benefits
- Flexible Work Environment
- Health Insurance
- Unlimited PTO
- Equity
- Growth, Training, & Conferences
- Generous Parental Leave
We're looking for
- Graduated from an MS or PhD Degree in Computer Science, Machine Learning or a related field
- ML Literature & Systems: Up-to-date knowledge of the robot learning literature and experience in integrating ML models into larger systems
- Software Design & Maintenance: Proven ability to manage a library’s technical lifecycle, including refactoring, maintaining API stability, and dependencies management
- A solid Machine Learning experience: Hands-on experience with PyTorch and developing abstractions for efficient ML development and deployment
- Strong Software Skills: Exceptional coding skills (e.g., Python) with experience in building and managing complex, production-quality libraries
- Any previous experience contributing to open source libraries in the robotics fields and especially on LeRobot