We're on a journey to democratize good AI. We are looking for a Software Engineer to help develop Gradio, a Python framework that lets users build machine learning web apps, and Trackio, a local-first, agent-friendly experiment tracking platform.
\nKey responsibilities include designing, developing, and maintaining core features for Gradio and Trackio, ensuring scalability, reliability, and ease of use for ML developers. You will also architect complex Python projects and frameworks that serve as foundational tools for the ML community.
\nCollaboration with open-source contributors and engagement with the broader community through code reviews, discussions, and support are also essential. Additionally, you will integrate modern frontend technologies to create seamless and intuitive user experiences for Python-based web applications.
\nAdaptability to evolving engineering challenges and contribution to the direction of our developer tools as the landscape changes are required.
\nIf you love open-source, are passionate about making machine learning more accessible, have experience building Python frameworks, and want to contribute to one of the fastest-growing machine learning libraries, then we can't wait to see your application!
","enriched_at":1780477575095},{"id":"job_bbd59ce5-e8d","title":"Software Engineer","source_url":"https://apply.workable.com/j/CB1DEFE6CE","location":"Paris","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"We're on a journey to democratize good AI. As a Software Engineer at Hugging Face, you will help develop Gradio, a Python framework that lets users build machine learning web apps, and Trackio, a local-first, agent-friendly experiment tracking platform. Your focus will be on designing, developing, and maintaining core features for Gradio and Trackio, ensuring scalability, reliability, and ease of use for ML developers.
\nKey responsibilities include:
\nRequirements:
\nIf you're interested in joining us, but don't tick every box above, we still encourage you to apply!
","enriched_at":1780477566357},{"id":"job_edb940cb-b1d","title":"Data/Infrastructure Advocate Engineer","source_url":"https://apply.workable.com/j/97904BAC90","location":"Paris","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 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, helping users 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.
\nYou'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.
\nYou're already an active voice in the data and ML community. You build in public, you publish, and people follow your work on LinkedIn and X.
\nYou're a hands-on builder who loves experimenting with data tools, storage optimisation, and dataset versioning. You can take a complex topic like deduplication, compression, or Parquet editing and make it click for other developers through writing, demos, or talks.
\nAt Hugging Face, we're on a journey to democratize good AI. As a Cloud ML DevRel Engineer, your goal is to grow the impact of the Hugging Face ML Cloud team by teaching the community of ML practitioners how to accelerate their training and inference workloads.
\nThe ML Cloud team works through strategic collaborations with the most widely used clouds (AWS, GCP, Azure, Cloudflare), AI accelerators (NVIDIA, AMD, Intel Gaudi, AWS Inferentia, TPU), and systems partners (Dell, Nutanix), to make it easy for the community to run Hugging Face models and libraries on these platforms.
\nThis is a solid engineering role with a strong flavor of education and community. Your impact comes from driving visibility and usage of partner integrations, through work like:
\nYou'll work at the front edge of generative AI and open source, hand in hand with some of the most important companies in the field. You'll have a lot of autonomy and full creative control, with the goal of having 10x the impact of a similar role at a big tech company.
\nWe believe great AI shouldn't require a massive cluster, we build for everyone, especially the GPU-poor.
","enriched_at":1780121412582},{"id":"job_8240af3f-7c9","title":"Cloud ML DevRel Engineer","source_url":"https://apply.workable.com/j/CFD3AB818C","location":"Paris","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 ML DevRel Engineer, your goal is to grow the impact of the Hugging Face ML Cloud team by teaching the community of ML practitioners how to accelerate their training and inference workloads.
\nThe ML Cloud team works through strategic collaborations with the most widely used clouds (AWS, GCP, Azure, Cloudflare), AI accelerators (NVIDIA, AMD, Intel Gaudi, AWS Inferentia, TPU), and systems partners (Dell, Nutanix), to make it easy for the community to run Hugging Face models and libraries on these platforms.
\nThis is a solid engineering role with a strong flavor of education and community. Your impact comes from driving visibility and usage of partner integrations, through work like:
\nYou'll work at the front edge of generative AI and open source, hand in hand with some of the most important companies in the field. You'll have a lot of autonomy and full creative control, with the goal of having 10x the impact of a similar role at a big tech company.
\nWe believe great AI shouldn't require a massive cluster, we build for everyone, especially the GPU-poor.
","enriched_at":1780121404302},{"id":"job_b46b3008-077","title":"Open-Source Machine Learning Engineer","source_url":"https://apply.workable.com/j/19A136F8E2","location":"Paris","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'll work to improve the open-source machine learning ecosystem. You'll mainly work on existing open-source libraries such as Transformers, Datasets, Pytorch and vLLM, and you'll interact with users and contributors across the broad open-source ML ecosystem.
\nYou'll help foster one of the most active machine learning communities, helping users contribute to and use the tools you build. You'll work with researchers, ML practitioners, and data scientists every day through GitHub, our forums, and Slack.
\nWe're looking for someone with a public track record of open-source work, who enjoys collaborating with a community out in the open on GitHub. You should love open source, be passionate about making complex technology more accessible, and want to contribute to one of the fastest-growing ML ecosystems.
\nKey responsibilities include:
\nNice to have:
\nWe're on a journey to democratize good AI. As an Open-Source Machine Learning Engineer, you'll work to improve the open-source machine learning ecosystem. You'll mainly work on existing open-source libraries such as Transformers, Datasets, Pytorch and vLLM, and you'll interact with users and contributors across the broad open-source ML ecosystem.
\nYou'll help foster one of the most active machine learning communities, helping users contribute to and use the tools you build. You'll work with researchers, ML practitioners, and data scientists every day through GitHub, our forums, and Slack.
\nYou have a public track record of open-source work, and you enjoy collaborating with a community out in the open on GitHub. You love open source, you're passionate about making complex technology more accessible, and you want to contribute to one of the fastest-growing ML ecosystems.
\nAt Hugging Face, we're on a journey to democratize 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, helping users 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.
\nYou'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.
\nYou're already an active voice in the data and ML community. You build in public, you publish, and people follow your work on LinkedIn and X.
\nYou're a hands-on builder who loves experimenting with data tools, storage optimisation, and dataset versioning. You can take a complex topic like deduplication, compression, or Parquet editing and make it click for other developers through writing, demos, or talks.
\n