Data/Infrastructure Advocate Engineer - US Remote at Hugging Face

Ideal for a mid-level engineer with a strong technical background in data infrastructure, Python, and a passion for community advocacy, particularly in the open

Work type: remote

Location: New York, New York, United States

Type: Full-time

Ideal for a mid-level engineer with a strong technical background in data infrastructure, Python, and a passion for community advocacy, particularly in the open-source AI space. **What makes it worth a look...** Hugging Face is seeking to hire their first Data/Infrastructure Advocate Engineer on a fully remote basis. This role focuses on championing their Xet storage solution on the Hugging Face Hub, working at the intersection of storage technologies and community engagement. **You might be a good fit if you...** * Have strong technical skills in Python, data libraries (pandas, pyarrow, huggingface/datasets), and storage systems (Parquet, Open Table Formats, S3). * Are a hands-on builder who enjoys experimenting with data tools, storage optimization, and dataset versioning. * Can clearly explain complex topics like deduplication, compression, and Parquet editing. * Are active in developer communities (GitHub, Discord, forums) and passionate about open source.

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