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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