Remote Data/Infrastructure Advocate Engineer - US Remote

Description:

• Serve as the first Data/Infrastructure Advocate Engineer at Hugging Face, bridging data infrastructure and the community of data engineers, researchers, and developers.
• Champion Xet storage on the Hugging Face Hub, promoting efficient storage, versioning, and collaboration on large-scale datasets.

Requirements:

• 3+ years in developer relations or advocacy, preferably in data engineering, infrastructure, or ML tools.
• Established public presence with a track record of publishing data/infra/ML content and an engaged audience on LinkedIn and X.
• Strong Python skills and hands-on experience with data libraries (e.g., pandas, pyarrow).
• Practical experience with storage systems (Parquet, Open Table Formats, S3) and knowledge of dataset versioning, deduplication, and compression.
• Ability to explain complex topics clearly through writing, demos, or talks.

Benefits:

• Flexible working hours and remote options, with health, dental, and vision benefits for employees and dependents.
• Opportunities for professional development, including reimbursement for conferences and training.
• Company equity as part of the compensation package, allowing employees to share in the company's success.