Hugging Face

Developer Advocate Engineer, Hub/Enterprise - US Remote

New York, New York, United States

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Open Source Software, Machine Learning PlatformsIndustries

Requirements

Candidates should possess an exceptional ability to create clear, engaging, and technically accurate content (written, code, video) that resonates with developers, along with a strong understanding of developers’ needs, pain points, and learning processes. A generalist engineering background with empathy for developers is required, as is enthusiasm for ML-focused products and a proactive approach to demonstrating their value. Strong communication skills are necessary, and a developer-first and growth-oriented mindset is desired.

Responsibilities

The Developer Advocate Engineer will be responsible for authoring documentation, blog posts, tutorials, articles, and creating engaging videos and presentations for conferences and webinars to educate, inspire, and convert potential users into active adopters of the Hugging Face Hub and its Enterprise solutions. They will design and develop compelling demos and prototypes showcasing the Hub's capabilities, including leveraging Inference Providers, and proactively identify and cultivate relationships within the developer ecosystem to increase visibility and drive new user acquisition. This role involves sharing content and demos widely, engaging in relevant communities, and participating in events, as well as owning the quality and impact of content related to the product’s success in the market.

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.

Key Metrics

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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