Full-Time

Machine Learning Engineer

Fast Optimized Inference

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

Mid, Senior

Remote in USA

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Rust
Python
CUDA
Keras
Pytorch
Requirements
  • Proficient with Python, Rust, and specialized Cuda kernels Frameworks (transformers of course + Keras or PyTorch)
Responsibilities
  • Develop specialized software for specific machine learning (ML) use cases that have broad applications, similar to text-generation-inference.
  • Utilize existing library frameworks to create scalable software solutions for industrial purposes.
  • Enhance the reliability, quality, and time-to-market of our software suite. Measure and optimize system performance to stay ahead of customer needs and drive innovation.
  • Manage the production environment by monitoring availability and ensuring overall system health. We run our own tools

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

1%

1 year growth

2%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Integration of reasoning models could enhance Hugging Face's problem-solving capabilities.
  • Leveraging ProVision framework may improve Hugging Face's multimodal AI models.
  • Collaborating with NVIDIA could position Hugging Face in AI robotics integration.

What critics are saying

  • MiniMax's LLM with 4M token context challenges Hugging Face's market position.
  • Google's Gemini AI may outpace Hugging Face in multi-modal AI capabilities.
  • Novasky's free Sky-T1 model could disrupt Hugging Face's freemium model.

What makes Hugging Face unique

  • Hugging Face specializes in advanced NLP models like GPT-2 and XLNet.
  • The company offers a freemium model with enterprise solutions for custom needs.
  • Hugging Face is a leader in democratizing AI through open-source platforms.

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Benefits

Flexible Work Environment

Health Insurance

Unlimited PTO

Equity

Growth, Training, & Conferences

Generous Parental Leave