Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better.
We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 1 Million+ models and 320K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly and NASA.
About the Role
At Hugging Face, we believe ML doesn’t have to be constrained to computers and servers, and that’s why we’re expanding our team with a new opportunity for a Robotics Engineer focusing on Machine Learning/AI.
In this role, you will be responsible for designing, building, and maintaining open-source and low cost robotic systems that integrate AI technologies, specifically in deep learning and embodied AI. You will collaborate closely with ML engineers, researchers, and product teams to develop innovative solutions that push the boundaries of what's possible in robotics and AI.
Key Responsibilities:
- Design, build, and maintain open-source and low cost robotic systems integrating deep learning and embodied AI technologies
- Collaborate with cross-functional teams to define requirements, design specifications, and implement robotic components
- Develop and optimize algorithms for robot motion planning, control, perception and navigation using tools like ROS or ROS2, Numpy, Sklearn, PyTorch, Pinocchio and other relevant libraries
- Build low cost robots with off the shelf electronic components and controllers and 3D printed parts
- Contribute to open-source projects related to robotics and AI
- Stay up-to-date with the latest trends and developments in robotics and AI research
About You
Your background includes a solid foundation in mechanical engineering, electrical engineering, computer science, or a related field, along with hands-on experience in robotics design, assembly, repair, 3D printing, and CAD modeling. Additionally, you possess some knowledge of robotics software frameworks like ROS or ROS2, optimization techniques, and machine learning concepts. While not required, prior experience in deep learning or embodied AI is a plus.
Above all, you share our commitment to open-source innovation and are excited about making cutting-edge AI technology more accessible to developers worldwide. If you're ready to join a diverse and inclusive team dedicated to advancing the state-of-the-art in machine learning and robotics, we want to hear from you!
If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and background complement one another. We're happy to consider where you might be able to make the biggest impact.
More about Hugging Face
We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias toward impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.
We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer flexible parental leave and paid time off.
We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.
We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.
We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.