Data Advocate Engineer

🕒 Maio 29

🗽 New York – Remoto

🗽 New York – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👷🏻‍♀️ Engenheiro

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Hugging Face

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2016

🤖 Inteligência Artificial

☁️ SaaS

🏢 Corporativo

Artificial Intelligence • SaaS • Enterprise

Hugging Face é uma plataforma colaborativa para a comunidade de aprendizado de máquina, com foco em modelos, conjuntos de dados e aplicações. Oferece uma ampla gama de ferramentas e recursos para criar, descobrir e compartilhar modelos e conjuntos de dados de aprendizado de máquina. A Hugging Face fornece ferramentas de ML de código aberto, incluindo frameworks para PyTorch, TensorFlow e JAX, bem como soluções avançadas para empresas através de suas ofertas empresariais. A empresa hospeda milhares de modelos, conjuntos de dados e aplicações, servindo como um hub central para pesquisa e desenvolvimento em IA.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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