ML Engineer Internship
Improve hardware efficiency, Remote
Confirmed live in the last 24 hours
Hugging Face

201-500 employees

Platform for collaboration on machine learning models
Company Overview
Hugging Face is a collaborative platform that is shaping the future of artificial intelligence by enabling the machine learning community to work together on models, datasets, and applications. The company fosters a culture of sharing and collaboration, allowing for unlimited hosting of models and datasets, and encouraging users to build their machine learning profiles. With a focus on building foundational machine learning tools in partnership with the community, Hugging Face demonstrates industry leadership and a competitive edge in the AI sector.
AI & Machine Learning
B2B

Company Stage

Series D

Total Funding

$395.2M

Founded

2016

Headquarters

Paris, France

Growth & Insights
Headcount

6 month growth

15%

1 year growth

49%

2 year growth

169%
Locations
Remote in USA
Experience Level
Intern
CategoriesNew
AI & Machine Learning
Hardware Engineering
Requirements
  • Passionate about open-source
  • Experience in making complex technology accessible
  • Interest in machine learning and AI
  • Strong problem-solving skills
Responsibilities
  • Investigate model compilation and graph rewriting techniques
  • Optimize AI models for hardware efficiency and performance
  • Study AI model optimization techniques
  • Enable performance gains across different AI model topologies and tasks
Desired Qualifications
  • Experience with device placement and subgraph fusion
  • Knowledge of AI model topologies and tasks
  • Familiarity with transformer-based AI models