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).

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’s 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!

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You'll champion Xet storage on the Hugging Face Hub, empowering users to efficiently store, version, and collaborate on large-scale datasets. This role is for someone who thrives at the intersection of technical depth (storage, Parquet, deduplication) and community advocacy—helping define the future of open data workflows.

Your main missions will be:

• Grow and nurture the open-source data/infra community—launch initiatives, collaborate with data-focused groups, and organise events or challenges.
• Promote the Hugging Face Hub as the go-to platform for data storage, versioning, and collaboration—curate and showcase datasets, benchmarks, and tools like Xet.
• Highlight use cases like efficient large dataset updates, Parquet editing, and deduplication to demonstrate the Hub's value for data workflows.
• Create demos, benchmarks, and tools (e.g., Colab notebooks) to illustrate best practices for data storage and versioning.
• Experiment with Xet, Parquet, and other data formats to showcase their potential for ML and data engineering.
• Produce high-quality tutorials, blog posts, and videos that make complex topics accessible.
• Share insights on storage optimisation, dataset versioning, and deduplication to empower developers.
• Actively participate in online communities (Discord, GitHub, forums) to highlight contributions, answer questions, and foster collaboration.
• Ensure datasets and tools released on the Hub are well-documented, with clear examples, benchmarks, and use cases.

About you

You're a great fit if you:

• Have strong technical skills in Python, data libraries (e.g., pandas, pyarrow, huggingface/datasets), and storage systems (Parquet, Open Table Formats, S3).
• Are a hands-on builder who loves experimenting with data tools, storage optimisation, and dataset versioning.
• Can clearly explain complex topics (e.g., deduplication, compression, Parquet editing) through writing, demos, or talks.
• Are active in developer communities (GitHub, Discord, forums) and passionate about open source and knowledge sharing.
• Thrive in fast-moving environments and enjoy building in public to inspire others.

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 backgrounds complement one another.

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 you feel respected and supported—regardless of who you are or where you come from.

Hugging Face is an equal opportunity employer, and we do not discriminate based on race, ethnicity, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or ability status.

We value development. You will work with some of the smartest people in our industry.

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.

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As our first Data/Infrastructure Advocate Engineer, you'll bridge the gap between cutting-edge data infrastructure and the global community of data engineers, researchers, and developers. You'll champion Xet storage on the Hugging Face Hub, empowering users to efficiently store, version, and collaborate on large-scale datasets.

This role is for someone who thrives at the intersection of technical depth (storage, Parquet, deduplication) and community advocacy—helping define the future of open data workflows. You'll collaborate with teams like Datasets, Hub, and Infrastructure to shape how developers interact with data on our platform, and inspire a community to build better, faster, and more scalable data pipelines.

Your Main Missions:

• Grow and nurture the open-source data/infra community—launch initiatives, collaborate with data-focused groups, and organise events or challenges. Engage with communities like Apache Parquet, Open Tables Formats, and data engineering forums to promote best practices and Hugging Face tools.

• Promote the Hugging Face Hub as the go-to platform for data storage, versioning, and collaboration—curate and showcase datasets, benchmarks, and tools like Xet.

• Highlight use cases like efficient large dataset updates, Parquet editing, and deduplication to demonstrate the Hub’s value for data workflows.

• Create demos, benchmarks, and tools (e.g., Colab notebooks) to illustrate best practices for data storage and versioning.

• Experiment with Xet, Parquet, and other data formats to showcase their potential for ML and data engineering.

• Produce high-quality tutorials, blog posts, and videos that make complex topics accessible.

• Share insights on storage optimisation, dataset versioning, and deduplication to empower developers.

• Actively participate in online communities (Discord, GitHub, forums) to highlight contributions, answer questions, and foster collaboration.

• Ensure datasets and tools released on the Hub are well-documented, with clear examples, benchmarks, and use cases.

About you

You’re a great fit if you:

• Have strong technical skills in Python, data libraries (e.g., pandas, pyarrow, huggingface/datasets), and storage systems (Parquet, Open Table Formats, S3).

• Are a hands-on builder who loves experimenting with data tools, storage optimisation, and dataset versioning.

• Can clearly explain complex topics (e.g., deduplication, compression, Parquet editing) through writing, demos, or talks.

• Are active in developer communities (GitHub, Discord, forums) and passionate about open source and knowledge sharing.

• Thrive in fast-moving environments and enjoy building in public to inspire others.

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 backgrounds 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 you 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, as well as the future of machine learning more broadly. Hugging Face is an equal opportunity employer, and we do not discriminate based on race, ethnicity, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or ability status.

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The Hugging Face ML Cloud team is working through strategic collaborations with the most used Clouds (AWS, GCP, Azure, Cloudflare), AI Accelerators (incl. NVIDIA, AMD, Intel, Gaudi, Inferentia, TPU), and Systems (Dell, Nutanix), to make it easy for the community to use Hugging Face models and libraries on these compute platforms.

This role is not a marketing role, or a business development role. Your impact will be driving visibility and usage of integrations with strategic partners, through activities including:

• Publishing technical blog posts
• Contributing documentation and code examples
• Speaking to business and technical audiences at partner conferences,
• Participating in, or producing webinars
• Building and evangelizing demos
• Leading GTM conversations with strategic partners.

You will be at the forefront of Generative AI (and how to build practical stuff with open source). You will work hand in hand with the most important companies in AI. You will enjoy a lot of autonomy and full creative control, with the goal to have 10x more impact than a similar role at a big tech corporation.

About You

You are passionate about ML Engineering, building practical AI applications, putting them in production, and accelerating them to the best of the Cloud ability. You love learning new challenging engineering concepts and technologies, and discussing them with engineers. You appreciate a good Developer Experience, and take pride in your code being easy to understand. You are a great communicator and educator, comfortable (as much as one can be!) with public speaking to technical audiences. You love engaging with the ML community in a positive and helpful way. Existing engagement in social platforms (GitHub, LinkedIn, Twitter, Reddit, etc) or other communication/education channels is expected. Having experience in Open Source development will be helpful.

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You will work on integrating Hugging Face's open-source libraries like Transformers and Diffusers, with major cloud platforms or managed SaaS solutions. This role involves bridging and integrating models with different cloud providers, ensuring the models meet expected performance, designing and developing easy-to-use, secure, and robust developer experiences and APIs for our users, writing technical documentation, examples and notebooks to demonstrate new features, and sharing and advocating your work and the results with the community.

The ideal candidate will have deep experience building with Hugging Face Technologies, including Transformers, Diffusers, Accelerate, PEFT, Datasets, expertise in Deep Learning Framework, preferably PyTorch, optionally XLA understanding, strong knowledge of cloud platforms like AWS and services like Amazon SageMaker, EC2, S3, CloudWatch and/or Azure and GCP equivalents, experience in building MLOps pipelines for containerizing models and solutions with Docker, familiarity with Typescript, Rust, and MongoDB, Kubernetes are helpful, ability to write clear documentation, examples and definition and work across the full product development lifecycle, and bonus experience with Svelte & TailwindCSS.

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.

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We are looking for a Cloud Machine Learning engineer responsible to help build machine learning solutions used by millions leveraging cloud technologies. You will work on integrating Hugging Face's open-source libraries like Transformers and Diffusers, with major cloud platforms or managed SaaS solutions.

Responsibilities:

• Bridging and integrating 🤗 transformers/diffusers models with a different Cloud provider.
• Ensuring the above models meet the expected performance
• Designing & Developing easy-to-use, secure, and robust Developer Experiences & APIs for our users.
• Write technical documentation, examples and notebooks to demonstrate new features
• Sharing & Advocating your work and the results with the community.

About You You'll enjoy working on this team if you have experience with and interest in deploying machine learning systems to production and build great developer experiences. The ideal candidate will have skills including:

• Deep experience building with Hugging Face Technologies, including Transformers, Diffusers, Accelerate, PEFT, Datasets
• Expertise in Deep Learning Framework, preferably PyTorch, optionally XLA understanding
• Strong knowledge of cloud platforms like AWS and services like Amazon SageMaker, EC2, S3, CloudWatch and/or Azure and GCP equivalents.
• Experience in building MLOps pipelines for containerizing models and solutions with Docker
• Familiarity with Typescript, Rust, and MongoDB, Kubernetes are helpful
• Ability to write clear documentation, examples and definition and work across the full product development lifecycle
• Bonus: Experience with Svelte & TailwindCSS

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Your responsibilities include:

• Leading engagement with the policy community, with the U.S. federal government in Washington D.C., U.S. state governments and other governments and governing bodies such as the UK and EU.
• Explain technical AI security issues and connect to policy recommendations and actions.
• Conduct policy analyses on AI, including open source, geopolitical implications for AI, and AI security.
• Analyze trends in AI, such as model and AI artifact usage and effect on workforces.
• Build strong networks with key decision-makers in government and relevant policy organizations.
• Track and analyze relevant policy developments on AI, to inform research and analysis.
• Work closely with technical teams internally on policy documents and research artifacts.

In this role, you will work with one of the most active Machine Learning communities to combine the perspectives of diverse stakeholders and promote better technology governance. You'll interact with Researchers, ML practitioners, ethicists, and data scientists on a daily basis through GitHub, our forums, or slack.

We are seeking candidates who demonstrate an expert understanding of AI related policy issues, such as geopolitics, security, and economic and labor impact. You should have experience working closely with the U.S. federal government and understanding of policy processes. A background in research and analysis, with published work in media outlets or other venues is also required.

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We're a mission-driven company that values openness, experimentation, and fun. Our team is comprised of kind, ambitious, and wildly talented individuals who are passionate about AI, open source, and democratizing technology.

As a Wild Card, you'll have the freedom to design your dream job and work with our team to put you in position to do the best work of your life. You'll be part of a vibrant AI community and have the opportunity to collaborate with like-minded individuals who share your passion for AI and technology.

Responsibilities:

• Collaborate with our team to identify areas where you can make a significant impact
• Design and implement projects that align with our company's mission and values
• Contribute to the development of new technologies and tools that can help shape the open AI movement

Requirements:

• You're deeply passionate about AI, open source, and democratizing technology
• You've done something awesome – maybe it's a project, a paper, a startup, or a viral meme with source code
• You thrive in ambiguity and love shaping your own role
• You're excited to collaborate with one of the most vibrant AI communities in the world

Benefits:

• A chance to design your dream job at a mission-driven company
• Work with (and learn from) a kind, ambitious, and wildly talented team
• A culture that values openness, experimentation, and fun
• Competitive salary, equity, unlimited time off, and remote-first flexibility
• The joy of knowing your work contributes to shaping the open AI movement

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The UX/UI Designer will design and create graphics to meet specific commercial and promotional needs. The position will work with our Product team and take ownership of the user experience/user interface design products, ensuring their success in the market.

Duties will include:

• Imagining and building the next features for the Hugging Face Hub (hf.co) and other products.
• Contributing to products in the “Developer tools” and machine learning space.
• Developing graphics and layouts for product illustrations, company logos, and websites.
• Working on developing apps or pages to expand the Hub to new domains, help design blog posts, videos, talks, and demos, and drive the direction of the product.
• Leading the designs of visually compelling marketing landing pages for key products (Spaces, Inference Endpoints, Classroom), to drive client and user growth.
• Leading the graphic designs of Hugging Face social marketing courses, in-person events, and merchandise to contribute to significant social exposure of Hugging Face.
• Leading the UI/UX design of certain features on the Hugging Face Hub to improve user engagement and daily active users (DAU) throughout the Hugging Face Hub.
• Creating designs, concepts, and sample layouts, based on knowledge of layout principles and aesthetic design concepts.
• Collaborating with Hugging Face’s head of design on various projects.
• Designing the UI/UX of image classification and the payment flow of AutoTrain, ensuring a seamless user experience.
• Leading the UI/UX of Hugging Face merchandise store website, to elevate Hugging Face visual identity and merchandise sales.

About you

Requires Bachelor’s Degree in Graphic Design, Design, or related field, and demonstrated knowledge of or experience in the following:

• Standard UX software such as Figma or Sketch
• Using UX design best practices to design solutions
• Mobile-first and responsive design
• Iterating designs and solutions efficiently and intelligently
• Working with team members to understand detailed requirements and design complete user experiences that meet team needs and vision
• Synthesizing company-level goals to help teams across multiple product areas create remarkable design experiences

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 you 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, as well as the future of machine learning more broadly.

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As an Open-Source ML engineer in Computer Vision, you will work mainly with existing open-source libraries, such as Transformers and Datasets to boost the support for vision or multi-modal models and datasets. You will bring your computer vision expertise to provide the best computer-vision tool stack in the machine learning ecosystem and work with us to provide the best, simplest, and most intuitive computer-vision library in the industry.

Responsibilities:

• Work with existing open-source libraries to boost support for vision or multi-modal models and datasets.
• Bring computer vision expertise to provide the best computer-vision tool stack in the machine learning ecosystem.
• Collaborate with researchers, ML practitioners, and data scientists on a daily basis.
• Foster one of the most active machine learning communities, helping users contribute to and use the tools that you build.

Requirements:

• Deep expertise in computer vision: object detection, segmentation, generative models, or multimodal systems.
• Strong open-source presence: You’ve contributed significantly to CV libraries (e.g., OpenCV, Detectron2, MMDetection, or Hugging Face’s own transformers/diffusers), as a Core-Contributor or maintainer.
• Scalability mindset: Experience optimizing models for production, deploying at scale, or improving inference efficiency.
• Collaboration & mentorship: You enjoy working with cross-functional teams, reviewing PRs, and guiding junior contributors.
• Alignment with our mission: You believe in democratizing AI and want to empower millions of builders with state-of-the-art tools.

If you love open-source, are passionate about the new development of Transformers models in computer vision, have experience building, optimizing, and training such models in PyTorch and/or TensorFlow, serving them in production, and want to contribute to one of the fastest-growing ML libraries, then we can't wait to see your application!

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 backgrounds complement one another. We're happy to consider where you might be able to make the biggest impact.

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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.

As an Open-Source ML engineer in Computer Vision, you will work mainly with existing open-source libraries, such as Transformers and Datasets to boost the support for vision or multi-modal models and datasets.

You will bring your computer vision expertise to provide the best computer-vision tool stack in the machine learning ecosystem and work with us to provide the best, simplest, and most intuitive computer-vision library in the industry.

You'll get to foster one of the most active machine learning communities, helping users contribute to and use the tools that you build.

You'll interact with Researchers, ML practitioners, and data scientists on a daily basis through GitHub, our forums, or slack.

Responsibilities

• Deep expertise in computer vision: object detection, segmentation, generative models, or multimodal systems.
• Strong open-source presence: You’ve contributed significantly to CV libraries (e.g., OpenCV, Detectron2, MMDetection, or Hugging Face’s own transformers/diffusers), as a Core-Contributor or maintainer.
• Scalability mindset: Experience optimizing models for production, deploying at scale, or improving inference efficiency.
• Collaboration & mentorship: You enjoy working with cross-functional teams, reviewing PRs, and guiding junior contributors.
• Alignment with our mission: You believe in democratizing AI and want to empower millions of builders with state-of-the-art tools.

Benefits

• Flexible working hours and remote options.
• Health, dental, and vision benefits for employees and their dependents.
• Parental leave and flexible paid time off.
• Reimbursement for relevant conferences, training, and education.
• Company equity as part of their compensation package.

What We Offer

• Work with some of the smartest people in our industry.
• A bias for impact and a continuous growth mindset.
• Support for your well-being and career development.
• Opportunities to visit our offices in NYC and Paris.
• An outfitting of your workstation to ensure success.

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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

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We'll brainstorm with you to put you in a position to do the work that interests you and that is impactful. You'll get to foster one of the most active machine learning communities, helping users contribute to and use the tools that you build. You'll interact with Researchers, ML practitioners and data scientists on a daily basis through GitHub, our forums, or slack.

If you love open-source, are passionate about making complex technology more accessible, and want to contribute to one of the fastest-growing ML ecosystems, then we can't wait to see your application! 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.

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.

Requirements

Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills, potential expertise, and topics on which you would like to work.

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