数据/基础设施倡导工程师 - 美国远程

As our first Data/Infrastructure Advocate Engineer, you'll bridge the gap between cutting-edge data infrastructure and the global community of data engineers, researchers, and developers. You'll champion Xet storage on the Hugging Face Hub, helping users efficiently store, version, and collaborate on large-scale datasets. This role is for someone who thrives at the intersection of technical depth (storage, Parquet, deduplication) and community advocacy, helping define the future of open data workflows.

3+ years in developer relations or developer advocacy, ideally for data engineering, infrastructure, or ML tools and platforms. An established public presence as a technical voice, with a track record of regularly publishing data/infra/ML content and a demonstrable, engaged audience on LinkedIn and X. A portfolio of developer-facing content you can point to: tutorials, blog posts, videos, demos, benchmarks, or conference talks. Strong Python skills. Hands-on experience with data libraries such as pandas, pyarrow, and huggingface/datasets. Practical experience with storage systems and formats: Parquet, Open Table Formats, and S3. Working knowledge of dataset versioning, deduplication, and compression. Ability to explain complex technical topics clearly through writing, demos, or talks. Fluent written and spoken English.

Flexible working hours and remote options. Health, dental, and vision benefits for employees and their dependents. Parental leave and flexible paid time off. All employees have company equity as part of their compensation package.

Hugging Face is a leading AI platform that democratizes good AI through open-source tools and a vast community of developers and researchers. The company focuses on making AI accessible to a broader audience through innovative data infrastructure and collaborative tools.

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