Full-Time

Open-Source Machine Learning Engineer

Updated on 11/27/2024

Hugging Face

Hugging Face

201-500 employees

Develops advanced NLP models for text tasks

AI & Machine Learning

Entry, Junior

Remote in USA

Position can be performed remotely in the USA.

Category
Applied Machine Learning
AI Research
AI & Machine Learning
Required Skills
Git
Requirements
  • Experience with open-source libraries, such as Transformers, Datasets, or Accelerate
  • Passion for making complex technology more accessible
  • Interest in contributing to the machine learning ecosystem
  • Ability to interact with users and contributors of the open-source machine learning ecosystem
Responsibilities
  • Improve the open-source machine learning ecosystem
  • Work with existing open-source libraries
  • Interact with users and contributors of the broad open-source machine learning ecosystem
  • Foster one of the most active machine learning communities
  • Help users contribute to and use the tools that you build
  • Interact with Researchers, ML practitioners, and data scientists on a daily basis through GitHub, forums, or slack

Hugging Face develops machine learning models that can understand and generate human-like text, focusing on natural language processing (NLP). 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, providing basic features for free while charging for advanced functionalities and enterprise solutions tailored to large organizations. The company's goal is to empower researchers, developers, and businesses to utilize AI 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

30%

1 year growth

81%

2 year growth

124%
Simplify Jobs

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