Hugging Face

Developer Advocate Engineer, Hub/Enterprise - US Remote

New York, New York, United States

Not SpecifiedCompensation
Entry Level & New GradExperience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Open Source Software, Machine Learning PlatformsIndustries

Position Overview

  • Location Type: Remote
  • Job Type: Full-time
  • Salary: Not Specified

Hugging Face is building the fastest growing platform for AI builders, with millions of users and organizations sharing models, datasets, and apps. Their open-source libraries are highly popular.

As a Developer Advocate Engineer, you will be instrumental in driving the adoption and awareness of the Hugging Face Hub and its paid offerings, such as the Hugging Face Enterprise Hub and Inference Providers. Your main responsibility will be creating compelling technical content to showcase the Hub's capabilities and paid solutions, collaborating with Product, Infrastructure, and Open Source teams.

Responsibilities

  • Technical Content Creation: Author documentation, blog posts, tutorials, articles, and create engaging videos and presentations for conferences and webinars. The goal is to educate, inspire, and convert potential users into active adopters of the Hub and Enterprise solutions, clearly articulating benefits for various user and enterprise needs.
  • Engaging Demos and Prototypes: Design and develop compelling demos and prototypes that highlight the power and versatility of the Hugging Face Hub. Provide easy-to-use code repositories for developers to replicate and build upon examples, demonstrating value pathways such as using Inference Providers for streamlined model access.
  • Ecosystem Engagement and Awareness Building: Proactively identify and cultivate relationships within the developer ecosystem. Share content and demos widely, engage in relevant communities, and participate in events to increase visibility, build awareness, and drive new user acquisition for the Hub and its paid features.

About You

You will work with a supportive team and have significant autonomy. This role is ideal for someone who is:

  • An Exceptional Content Creator and Communicator: Proven ability to create clear, engaging, and technically accurate content (written, code, video) that resonates with developers. Excels at explaining complex topics simply.
  • Generalist Engineer with Developer Empathy: Versatile and empathetic, with a strong understanding of developers' needs, pain points, and learning processes.
  • Enthusiastic Evangelist for ML-Focused Products: Passionate about cutting-edge ML products and proactively demonstrating their value to diverse audiences through compelling content and demos.
  • Developer-First and Growth-Oriented Mindset: Dedicated to empowering developers through excellent resources, with a strong focus on driving adoption and expanding the community through educational outreach.
  • Adoption, Accessibility, and Awareness Advocate: Deeply committed to creating resources that are technically sound, highly accessible, discoverable, and effective in driving widespread adoption.
  • Product, Technical, and Content Ownership: Possesses a strong sense of ownership and responsibility for the quality and impact of your content and its role in the product's market success.

Hugging Face encourages applications even if you don't meet every qualification. They are building a diverse team and are open to considering where you might make the biggest impact.

Company Information

Hugging Face is actively working to build a culture that values diversity, equity, and inclusivity, aiming for a workplace where everyone feels respected.

Skills

Technical Content Creation
Documentation
Blog Writing
Tutorial Development
Video Production
Presentation Skills
Demo Design
Prototype Development
Community Engagement
Ecosystem Building
Open Source Collaboration
Model Deployment
Inference Providers

Hugging Face

Develops advanced NLP models for text tasks

About Hugging Face

Hugging Face develops machine learning models focused on understanding and generating human-like text. Their main products include advanced natural language processing (NLP) models like GPT-2 and XLNet, which can perform tasks such as text completion, translation, and summarization. Users can access these models through a web application and a repository, making it easy to integrate AI into various applications. Unlike many competitors, Hugging Face offers a freemium model, allowing users to access basic features for free while providing subscription plans for advanced functionalities. The company also tailors solutions for large organizations, including custom model training. Hugging Face aims to empower researchers, developers, and enterprises to utilize machine learning for text-related tasks.

New York City, New YorkHeadquarters
2016Year Founded
$384.9MTotal Funding
SERIES_DCompany Stage
Enterprise Software, AI & Machine LearningIndustries
201-500Employees

Benefits

Flexible Work Environment
Health Insurance
Unlimited PTO
Equity
Growth, Training, & Conferences
Generous Parental Leave

Risks

Salesforce's exclusive partnerships may limit Hugging Face's access to training datasets.
Microsoft's rStar-Math technique could outperform Hugging Face's NLP models in specific tasks.
DeepSeek-V3's release may intensify competition in the ultra-large model space.

Differentiation

Hugging Face offers a massive library of over one million AI models.
The company provides a thriving online community for open-source AI collaboration.
Hugging Face's freemium model allows easy access to advanced NLP tools.

Upsides

Collaboration with Microsoft could enhance small model performance in mathematical reasoning.
Partnership with DeepSeek may boost Hugging Face's ultra-large model capabilities.
Integration with Salesforce's ProVision could improve multimodal AI capabilities.

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