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Full-Time

Machine Learning Engineer in the Optimization team

US Remote

Confirmed live in the last 24 hours

Hugging Face

Hugging Face

201-500 employees

Develops advanced NLP models for text tasks

AI & Machine Learning

Junior, Mid

Remote in USA

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Python
C/C++
Linux/Unix
Requirements
  • Experience in low-level system integrations
  • Compiler support experience
  • Proficiency in Python and C++
  • Experience in designing Python APIs
  • Linux or embedded devices experience (a plus)
Responsibilities
  • Bridging 🤗 transformers models with state-of-the-art AI hardware
  • Ensuring the above models meet the expected performance
  • Designing easy to use and proficient Developer Experience for our users
  • Deploying these models in the most efficient and scalable way

Hugging Face develops machine learning models that can understand and generate human-like text, focusing on artificial intelligence and natural language processing. Their main products include advanced models like GPT-2 and XLNet, which can perform various 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 different 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. The goal of Hugging Face is to empower researchers, developers, and enterprises to utilize sophisticated language models effectively.

Company Stage

Series D

Total Funding

$395.2M

Headquarters

New York City, New York

Founded

2016

Growth & Insights
Headcount

6 month growth

23%

1 year growth

58%

2 year growth

97%
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Simplify's Take

What believers are saying

  • Hugging Face's partnerships with companies like Sakana AI and Apple highlight its influence and integration within the AI ecosystem.
  • The release of compact language models like SmolLM demonstrates Hugging Face's commitment to democratizing AI by making powerful NLP capabilities accessible on mobile devices.
  • Recognition in industry awards and continuous innovation in AI models position Hugging Face as a leader in the AI and NLP sectors.

What critics are saying

  • The competitive landscape in AI and NLP is intense, with major players like OpenAI and Nvidia posing significant challenges.
  • Reliance on a freemium model may limit revenue growth if users do not convert to paid plans.

What makes Hugging Face unique

  • Hugging Face's focus on NLP and text generation models like GPT-2 and XLNet sets it apart from competitors who may offer more generalized AI solutions.
  • Their freemium model combined with enterprise solutions allows them to cater to a wide range of clients, from individual developers to large organizations.
  • The company's extensive repository and accessible web application make advanced AI tools available to a broader audience, enhancing user engagement and adoption.

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Benefits

Flexible Work Environment

Health Insurance

Unlimited PTO

Equity

Growth, Training, & Conferences

Generous Parental Leave