DevRel Machine Learning Engineer, AI for Robotics - Paris Office

Hugging Face; À distance; EUR 60 000 - 80 000; Plein temps

Résumé du poste

A leading AI platform is seeking a Developer Relation ML Engineer to bridge machine learning research with robotics applications. This role involves community growth, platform promotion, and content creation to empower AI builders. Ideal candidates have an MS or PhD in Computer Science, strong Python skills, and passion for open source. The position offers flexible hours, remote options, and a supportive culture. Join us in democratizing AI and inspiring innovation within the robotics community.

Prestations

Flexible working hours

Health, dental, and vision benefits

Parental leave

Company equity

Qualifications

• Strong technical skills in Python and ML frameworks.
• Hands-on builder of AI-powered robotics projects.
• Ability to explain complex technical topics clearly.
• Active in developer communities and passionate about open source.

Responsabilités

• Grow and nurture the open-source robotics community.
• Promote the Hugging Face Hub for robotics.
• Fine-tune and deploy robotics foundation models.
• Produce high-quality content like tutorials and videos.
• Engage with communities online to foster collaboration.
• Contribute to open-source robotics libraries.
• Ensure compliance with open-source best practices.

Connaissances

Python

Machine Learning frameworks

Robotics tools

Community engagement

Open source advocacy

Formation

MS or PhD Degree in Computer Science, Machine Learning or a related field

Outils

ROS

Simulators

Description du poste

Overview

At Hugging Face, we\'re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 2M models, 700k datasets & 600k apps. Our open-source libraries have more than 600k+ stars on Github.

About the Role

As our first Developer Relation ML Engineer focused on Robotics, you\'ll play a pivotal role in bridging cutting-edge machine learning research with real-world robotics applications. You\'ll be the face of our open-source robotics initiatives, engaging with builders, creating compelling content, and empowering the community to innovate using tools like LeRobot, Hugging Face Hub, and robotics foundation models (e.g., VLAs).

You\'ll work at the intersection of machine learning, robotics, and community building—helping define the future of open robotics while making advanced AI accessible to all.

This is a unique opportunity to shape the role from the ground up, collaborate with leading researchers and engineers, and inspire a global community of AI builders.

Your main missions:

• Community Growth: Help grow and nurture the open-source robotics community—launch initiatives, collaborate with existing groups, and organize events or challenges.
• Platform Evangelism: Promote the Hugging Face Hub as the go-to platform for robotics—curating and showcasing models, datasets, simulators, research papers, and community projects.
• Build & Demo: Fine-tune and deploy robotics foundation models (Vision-Language-Action models, policy models, etc.) on real and simulated robots (e.g., Reachy Mini) to create fun, educational, and inspiring applications.
• Content Creation: Produce high-quality tutorials, videos, blog posts, and example scripts that showcase what\u2019s possible with open-source AI in robotics.
• Community Engagement: Actively participate in online communities (Discord, Reddit, social media, forums), highlight community contributions, and foster collaboration.
• Open-Source Advocacy: Contribute to and improve open-source robotics libraries (e.g., LeRobot), identify friction points for newcomers, and help streamline the developer experience.
• Documentation & Best Practices: Ensure model and dataset releases on the Hugging Face Hub follow open-source best practices, with clear, up-to-date model cards, dataset cards, and example code.

About you

You’re a great fit if you:

• Graduated from an MS or PhD Degree in Computer Science, Machine Learning or a related field.
• Have strong technical skills in Python, ML frameworks (PyTorch, etc.), and robotics tools (ROS, simulators, or real hardware).
• Are a hands-on builder who loves creating AI-powered robotics projects and experimenting with new technologies.
• Can clearly explain complex technical topics through writing, video, or live demos—making them accessible to all.
• Are active in developer communities (Discord, GitHub) and passionate about sharing knowledge and empowering others.
• Are passionate about open source, thrive in fast-moving environments, and enjoy building in public to inspire a community.

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 for 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 parental leave and flexible 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.