Hugging Face

Machine Learning Engineer

• Work mainly with existing open-source libraries, such as Transformers and Datasets to boost the support for vision or multi-modal models and datasets.
• Foster one of the most active machine learning communities, helping users contribute to and use the tools that you build.
• Interact with Researchers, ML practitioners, and data scientists on a daily basis through GitHub, our forums, or slack.

Senior Open-Source Machine Learning Engineer, Computer Vision

Engineer

• Grow and nurture the open-source data/infra community—launch initiatives, collaborate with data-focused groups, and organize 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 optimization, 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.

Data Infrastructure Advocate Engineer

Artificial Intelligence

• Leading engagement with the policy community, with the federal government in Washington D.C. and as needed with U.S. state governments and other national governments.
• 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.

Senior Open-Source Machine Learning Engineer, Computer Vision

Data Infrastructure Advocate Engineer

AI Public Policy Manager