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Data/Infrastructure Advocate Engineer - EMEA Remote

1 month, 2 weeks ago
Europe, Middle East, Africa, France
Full-time
Senior
Data Engineer
DevOps and Infrastructure
AWS GitHub Pandas Python
Apply Now
Hugging Face

Hugging Face

Hugging Face: Advancing AI through open collaboration. Platform for ML model collaboration and tools for AI project creation.

IT Services
51-250
Founded 2016
$395M raised
View All Jobs 8

Description

  • Grow and nurture the open-source data and infrastructure community by launching initiatives, collaborating with data-focused groups, and organizing events or challenges.
  • Engage with external communities (e.g., Apache Parquet, Open Table Formats, data engineering forums) to promote best practices and Hugging Face tools.
  • Promote the Hugging Face Hub as the go-to platform for data storage, versioning, and collaboration by curating and showcasing datasets, benchmarks, and tools like Xet.
  • Create demos, benchmarks, tools, and example notebooks (e.g., Colab) to illustrate best practices for data storage, versioning, and pipeline optimization.
  • Experiment with Xet, Parquet, and other data formats to demonstrate their potential for machine learning and data engineering workflows.
  • Produce high-quality technical content (tutorials, blog posts, videos) that makes complex topics accessible to developers and data engineers.
  • Share insights and guidance on storage optimization, dataset versioning, deduplication, and related workflows to empower users.
  • Actively participate in online communities (Discord, GitHub, forums) to highlight contributions, answer questions, and foster collaboration.
  • Collaborate cross-functionally with teams like Datasets, Hub, and Infrastructure to shape how developers interact with data on the platform and ensure released datasets/tools are well-documented with clear examples and benchmarks.

Requirements

  • Strong technical experience with Python and data libraries such as pandas, pyarrow, and huggingface/datasets.
  • Familiarity with storage systems and formats including Parquet, Open Table Formats, and object storage like S3.
  • Hands-on experience building and experimenting with data tools, storage optimization, and dataset versioning.
  • Ability to clearly explain complex topics (e.g., deduplication, compression, Parquet editing) through writing, demos, or talks.
  • Active participation in developer and open-source communities (GitHub, Discord, forums) and a passion for knowledge sharing.
  • Comfort working in fast-moving environments and building in public to inspire others.
  • Experience creating demos, benchmarks, tutorials, or example notebooks to illustrate technical workflows.
  • Interest in advocating for platform adoption and collaborating with product and infrastructure teams to shape developer workflows.

Benefits

  • Flexible working hours and remote work options, with office spaces available in NYC and Paris.
  • Health, dental, and vision benefits for employees and their dependents.
  • Parental leave and flexible paid time off.
  • Reimbursement for relevant conferences, training, and education.
  • Company equity included as part of the compensation package.
  • Support for remote employees to visit offices and provision of workstation equipment if needed.

Interested in this position?

Apply directly on the company website

Apply Now

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