Internship

Machine Learning Engineer Internship

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Confirmed live in the last 24 hours

Hugging Face

Hugging Face

201-500 employees

Develops advanced NLP models for text tasks

Enterprise Software
AI & Machine Learning

Remote in USA

Category
Applied Machine Learning
AI & Machine Learning
Requirements
  • Passion for open-source
  • Interest in making complex technology accessible to engineers and artists
  • Ability to integrate new quantization methods in the Hugging Face ecosystem
  • Experience with software engineering and machine learning engineering
Responsibilities
  • Integrate new quantization methods in Hugging Face ecosystem (transformers, accelerate, peft, diffusers)
  • Maintain existing integration (bitsandbytes, awq, autogptq)
  • Ensure community awareness of these tools through benchmarks and blogposts
  • Drive forward quantization in the open source ecosystem

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.

Company Stage

Series D

Total Funding

$384.9M

Headquarters

New York City, New York

Founded

2016

Growth & Insights
Headcount

6 month growth

28%

1 year growth

80%

2 year growth

128%
Simplify Jobs

Simplify's Take

What believers are saying

  • Collaboration with Entalpic on LeMaterial opens new avenues in materials science.
  • FineMath dataset enhances AI models' capabilities in handling mathematical tasks.
  • Test-time scaling shows small models can outperform larger ones, offering cost-effective solutions.

What critics are saying

  • Emergence of ultra-large models like DeepSeek-V3 could overshadow Hugging Face's offerings.
  • Rapid innovation in generative AI models could dilute Hugging Face's market share.
  • Specialized language models may challenge Hugging Face's focus on large models.

What makes Hugging Face unique

  • Hugging Face is a leader in open-source AI and NLP technologies.
  • The company offers a massive library of over one million AI models.
  • Hugging Face's freemium model attracts a wide range of users and enterprises.

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Benefits

Flexible Work Environment

Health Insurance

Unlimited PTO

Equity

Growth, Training, & Conferences

Generous Parental Leave