Data Advocate Engineer

🕒 5 days ago

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

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Hugging Face

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Hugging Face is a collaborative platform for the machine learning community, focusing on models, datasets, and applications. It offers a wide range of tools and resources for creating, discovering, and sharing machine learning models and datasets. Hugging Face provides open-source ML tools, including frameworks for PyTorch, TensorFlow, and JAX, as well as advanced solutions for businesses through its enterprise offerings. The company hosts thousands of models, datasets, and applications, serving as a central hub for AI research and development.

📋 Description

• Grow and nurture the open-source data/infra community: launch initiatives, collaborate with data-focused groups, and organize events or challenges • Promote the Hugging Face Hub as the go-to platform for data storage, versioning, and collaboration, curating and showcasing datasets, benchmarks, and tools like Xet • Highlight use cases like efficient large-dataset updates, Parquet editing, and deduplication to demonstrate the Hub's value for data workflows • Create demos, benchmarks, and tools (for example Colab notebooks) that illustrate best practices for data storage and versioning, and experiment with Xet, Parquet, and other formats • Produce high-quality tutorials, blog posts, and videos that make complex topics accessible • Share insights on storage optimization, dataset versioning, and deduplication to empower developers • Actively participate in online communities (Discord, GitHub, forums) to highlight contributions, answer questions, and foster collaboration • Make sure datasets and tools released on the Hub are well-documented, with clear examples, benchmarks, and use cases

🎯 Requirements

• 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 (Twitter) • A portfolio of developer-facing content you can point to: tutorials, blog posts, videos, demos, benchmarks, or conference talks • Hands-on experience building and engaging open-source or developer communities (Discord, GitHub, forums) • 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

🏖️ Benefits

• Health, dental, and vision benefits for employees and their dependents • Parental leave • Flexible paid time off • Reimbursement for relevant conferences, training, and education • Flexible working hours and remote options