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Hugging FaceData
Data/Infrastructure Advocate Engineer – EMEA Remote
RemotePosted 21 days ago
Hugging Face is seeking a Data/Infrastructure Advocate Engineer to bridge data infrastructure and the community, focusing on storage, versioning, and collaboration of large-scale datasets. The role involves community engagement, promoting open data workflows, and creating educational content.
Location: Remote
Responsibilities
- Grow and nurture the open-source data/infra community through initiatives, collaborations, and events.
- Promote the Hugging Face Hub as the platform for data storage, versioning, and collaboration.
- Highlight use cases like large-dataset updates, Parquet editing, and deduplication.
- Create demos, benchmarks, and tools to illustrate best practices for data storage and versioning.
- Produce tutorials, blog posts, and videos to make complex topics accessible.
- Share insights on storage optimization, dataset versioning, and deduplication.
- Participate in online communities to highlight contributions and foster collaboration.
- Ensure datasets and tools on the Hub are well-documented with clear examples.
Requirements
- 3+ years in developer relations or advocacy, ideally for data engineering, infrastructure, or ML tools.
- Established public presence as a technical voice with an engaged audience on LinkedIn and X.
- Portfolio of developer-facing content: tutorials, blog posts, videos, demos, benchmarks, or conference talks.
- Experience building and engaging open-source or developer communities (Discord, GitHub, forums).
- Strong Python skills.
- Experience with data libraries such as pandas, pyarrow, and huggingface/datasets.
- Practical experience with storage systems and formats: Parquet, Open Table Formats, S3.
- Knowledge of dataset versioning, deduplication, and compression.
- Ability to explain complex topics clearly through writing, demos, or talks.
- Fluent in written and spoken English.
Benefits
- Flexible remote work options.
- Opportunity to work with leading AI and data communities.
- Impactful role in shaping open data workflows.
- Support for professional development, conferences, and training.
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