At Hugging Face, we're on a journey to democratise good AI. 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.
\nYou'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.
\nYour main missions will be:
\nYou're a great fit if you:
\nIf 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.
\nWe 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.
\nHugging 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.
\nWe value development. You will work with some of the smartest people in our industry.
\nWe provide all employees with reimbursement for relevant conferences, training, and education.
\nWe care about your well-being. We offer flexible working hours and remote options.
\nWe offer health, dental, and vision benefits for employees and their dependents.
\nWe also offer parental leave and flexible paid time off.
\nWe 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.
\nIf needed, we'll also outfit your workstation to ensure you succeed.
\nWe want our teammates to be shareholders. All employees have company equity as part of their compensation package.
\nIf we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.
","enriched_at":1773142481656},{"id":"job_f81a1dc8-ca4","title":"Data/Infrastructure Advocate Engineer - EMEA Remote","source_url":"https://apply.workable.com/j/7C7F63E87A","location":"Paris","job_type":"full-time","experience_level":"entry","work_arrangement":"remote","category":"Engineering","description":"At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organisations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.
\nAs 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.
\nThis 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.
\nYour Main Missions:
\nYou’re a great fit if you:
\nIf 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.
\nWe 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.
","enriched_at":1773142450184},{"id":"job_2c81c083-464","title":"Cloud Machine Learning Evangelist","source_url":"https://apply.workable.com/j/F24E2E5058","location":"New York, New York","job_type":"full-time","experience_level":"mid","work_arrangement":"remote","category":"Engineering","description":"At Hugging Face, we're on a journey to democratize good AI. As a Cloud Machine Learning Evangelist, your goal will be to increase the impact of the Hugging Face ML Cloud team by educating the community of ML practitioners on how they can benefit by accelerating their training and inference workloads.\n\nThe 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.\n\nThis 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:\n\n* Publishing technical blog posts\n* Contributing documentation and code examples\n* Speaking to business and technical audiences at partner conferences,\n* Participating in, or producing webinars\n* Building and evangelizing demos\n* Leading GTM conversations with strategic partners.\n\nYou 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.\n\nAbout You\n\nYou 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.","enriched_at":1773142421609},{"id":"job_08d6ccf6-ea5","title":"Wild Card","source_url":"https://apply.workable.com/j/0BD8C06DB3","location":null,"job_type":"full-time","experience_level":"entry","work_arrangement":"remote","category":"Engineering","description":"If you're looking for a unique opportunity to join a dynamic team and contribute to shaping the open AI movement, we encourage you to apply to this Wild Card position.\n\nWe'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.\n\nAs 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.\n\nResponsibilities:\n\n* Collaborate with our team to identify areas where you can make a significant impact\n* Design and implement projects that align with our company's mission and values\n* Contribute to the development of new technologies and tools that can help shape the open AI movement\n\nRequirements:\n\n* You're deeply passionate about AI, open source, and democratizing technology\n* You've done something awesome – maybe it's a project, a paper, a startup, or a viral meme with source code\n* You thrive in ambiguity and love shaping your own role\n* You're excited to collaborate with one of the most vibrant AI communities in the world\n\nBenefits:\n\n* A chance to design your dream job at a mission-driven company\n* Work with (and learn from) a kind, ambitious, and wildly talented team\n* A culture that values openness, experimentation, and fun\n* Competitive salary, equity, unlimited time off, and remote-first flexibility\n* The joy of knowing your work contributes to shaping the open AI movement","enriched_at":1773142167232},{"id":"job_3f3ac4a1-977","title":"Open-Source Machine Learning Engineer, AI for Robotics","source_url":"https://apply.workable.com/j/E787796A71","location":"Paris","job_type":"full-time","experience_level":"mid","work_arrangement":null,"category":"Engineering","description":"At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders. 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.\n\nYour main missions:\n\n- ML Model Integration & Scaling: Porting, integrating, and scaling PyTorch ML models for robotics applications, including managing pretraining and large-scale training workflows.\n\n- 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.\n\n- Feature Development & Exploration: Driving the development and shipment of robust new features, and actively exploring and integrating new technologies relevant to AI and Robotics.\n\n- Community Engagement & Maintenance: Actively managing and merging community Pull Requests (PRs), handling reported issues, and acting as a technical liaison for the community.\n\n- Infrastructure & Benchmarking: Implementing and maintaining integrations with platforms like the Hugging Face (HF) Hub, performing benchmarking & profiling to ensure performance, and managing library dependencies.\n\nAbout you:\n\n- Graduated from an MS or PhD Degree in Computer Science, Machine Learning or a related field.\n\n- A solid Machine Learning experience: Hands-on experience with PyTorch and developing abstractions for efficient ML development and deployment.\n\n- ML Literature & Systems: Up-to-date knowledge of the robot learning literature and experience in integrating ML models into larger systems.\n\n- Strong Software Skills: Exceptional coding skills (e.g., Python) with experience in building and managing complex, production-quality libraries.\n\n- Software Design & Maintenance: Proven ability to manage a library's technical lifecycle, including refactoring, maintaining API stability, and dependencies management\n\nBonus points:\n\n- Any previous experience contributing to open source libraries in the robotics fields and especially on LeRobot","enriched_at":1773142078579},{"id":"job_36e31c5c-5d1","title":"Open-Source Machine Learning Engineer","source_url":"https://apply.workable.com/j/56232F23CB","location":"New York, New York","job_type":"full-time","experience_level":"mid","work_arrangement":"remote","category":"Engineering","description":"At Hugging Face, we're on a journey to democratize good AI. As an open-source Machine Learning Engineer, you will work to improve the open-source machine learning ecosystem. You will mainly work with existing open-source libraries, such as Transformers, Datasets, or Accelerate, and you will interact with users and contributors of the broad open-source machine learning ecosystem.\n\nWe'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.\n\nIf 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.\n\nMore about Hugging Face\n\nWe 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.\n\nRequirements\n\nPlease 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.","enriched_at":1773142046461}],"category_normalised":[{"category":"engineering","count":6}],"velocity":{"weeks":[{"week_start":"2026-03-09","count":6}],"trend":"stable","wow_pct":0},"momentum":{"recent_14d":0,"prior_14d":0,"growth_pct":0,"classification":"stable"},"salary_vs_industry":{"company_median":null,"industry_median":null,"percentile":null,"sample_size":0,"by_region":[],"transparency_pct":0,"industry_transparency_pct":0,"transparency_warning":true},"market_share":{"company_jobs":6,"industry_total":6,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.429,"skill_weighted_score":0.439,"top_exposed_titles":[],"top_exposed_skills":[{"skill":"Python","count":4,"score":0.52},{"skill":"Machine Learning","count":3,"score":0.33}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United States","count":3,"share_pct":60},{"region":"EU","count":2,"share_pct":40}],"emerging":[],"shrinking":[{"region":"United States","recent_30d":0,"prior_30d":3,"growth_pct":-100}]},"seniority_anomalies":{"exec_recent_30d":0,"exec_prior_90d_avg":0,"exec_growth_pct":0,"notable_exec_hires":[]},"posting_dynamics":{"median_days_open":null,"industry_median_days_open":null,"long_open_count":0,"closure_rate_pct":50}}}}