Data Advocate Engineer

This is a fully remote position, open to applicants in New York.

📋 Description

• Cultivate and support the open-source data and infrastructure community by initiating projects, collaborating with data-oriented groups, and organizing events or challenges.

• Advocate for the Hugging Face Hub as the premier platform for data storage, versioning, and collaboration, while curating and promoting datasets, benchmarks, and tools such as Xet.

• Showcase practical applications, including efficient updates to large datasets, Parquet editing, and deduplication, to illustrate the Hub's advantages for data workflows.

• Develop demonstrations, benchmarks, and tools (such as Colab notebooks) that highlight best practices for data storage and versioning, and explore formats like Xet and Parquet.

• Create high-quality tutorials, blog articles, and videos that simplify complex subjects.

• Provide insights on optimizing storage, versioning datasets, and deduplication to empower developers.

• Engage actively in online communities (Discord, GitHub, forums) to showcase contributions, respond to inquiries, and promote collaboration.

• Ensure that datasets and tools published on the Hub are thoroughly documented, featuring clear examples, benchmarks, and use cases.

⛳️ Requirements

• Over 3 years of experience in developer relations or advocacy, preferably within data engineering, infrastructure, or machine learning tools and platforms.

• A recognized public persona as a technical expert, with a proven history of regularly publishing content related to data, infrastructure, or machine learning, and an engaged audience on LinkedIn and X (Twitter).

• A portfolio showcasing developer-oriented content, including tutorials, blog posts, videos, demos, benchmarks, or conference presentations.

• Practical experience in building and nurturing open-source or developer communities (Discord, GitHub, forums).

• Proficient in Python programming.

• Hands-on experience with data libraries such as pandas, pyarrow, and huggingface/datasets.

• Familiarity with storage systems and formats, including Parquet, Open Table Formats, and S3.

• Knowledge of dataset versioning, deduplication, and compression techniques.

• Capability to convey complex technical subjects clearly through writing, demonstrations, or presentations.

• Proficient in both written and spoken English.

🏝️ Benefits

• Comprehensive health, dental, and vision benefits for employees and their dependents.

• Parental leave policy.

• Flexible paid time off.

• Reimbursement for relevant conferences, training, and educational opportunities.

• Flexible working hours with remote work options available.