Full-Time

Developer Experience Engineer for Inference

US Remote

Posted on 5/17/2024

Hugging Face

Hugging Face

201-500 employees

Develops advanced NLP models for text tasks

Enterprise Software
AI & Machine Learning

Entry, Junior

Remote in USA

Remote work is available, but New York is also listed as a location.

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Requirements
  • Generalist Engineer with Developer Empathy: Versatile and empathetic, with a strong understanding of developers' needs and pain points.
  • Enthusiastic About ML-Focused Products: Passionate about working on cutting-edge ML products and solving related technical challenges.
  • Developer-First Mindset: Dedicated to building tools and products that prioritize the developer experience.
  • Adoption and Accessibility Advocate: Committed not only to building tools but also to ensuring they are accessible and widely adopted.
  • Product and Technical Ownership: Possesses a strong sense of ownership and responsibility for both the product and its technical aspects.
Responsibilities
  • Engaging Demos and Prototypes: Design and develop demos and prototypes to effectively showcase the latest research and how to use it from a developer perspective.
  • Technical Content Creation: Produce high-quality technical content, such as documentation, blog posts, tutorials, and documentation, to support and educate our user community.
  • Tooling Development: Create and improve tools to lower the barrier of entry for developers using our inference services.
  • Ecosystem Integration: Own, unify, and grow the tooling and its adoption within the developer ecosystem.

Hugging Face develops machine learning models that understand and generate human-like text, focusing on natural language processing (NLP). Their main products include 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 advanced options through subscriptions. They also cater to large organizations with custom solutions and generate revenue through partnerships with tech companies and academic institutions. The goal of Hugging Face is to empower clients to utilize machine learning for text-related tasks effectively.

Company Stage

Series D

Total Funding

$384.9M

Headquarters

New York City, New York

Founded

2016

Growth & Insights
Headcount

6 month growth

26%

1 year growth

76%

2 year growth

124%
Simplify Jobs

Simplify's Take

What believers are saying

  • Collaboration with Entalpic on LeMaterial opens new avenues in materials science.
  • Growing demand for small language models presents expansion opportunities for Hugging Face.
  • Shutterstock's 'research license' model could lower data access barriers for Hugging Face.

What critics are saying

  • Emergence of smaller models like Patronus AI's Glider challenges Hugging Face's larger models.
  • UAE's Falcon 3 models increase competition in the small language model market.
  • Microsoft's Phi-4 model may shift focus towards smaller, efficient models, challenging Hugging Face.

What makes Hugging Face unique

  • Hugging Face specializes in open-source NLP models like GPT-2 and XLNet.
  • The company offers a freemium model with advanced features available via subscription.
  • Hugging Face collaborates with tech companies and academic institutions for custom solutions.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Flexible Work Environment

Health Insurance

Unlimited PTO

Equity

Growth, Training, & Conferences

Generous Parental Leave

INACTIVE