ML Research Engineer Internship, Post-Training

AI platform builder with over 5 million users & 100k organizations, sharing 1M+ models, 300k datasets & apps, with 400k+ Github stars.
Machine Learning
Software Engineering Intern
Remote
AI

Description For ML Research Engineer Internship, Post-Training

Hugging Face, a leading platform in AI democratization, is seeking a ML Research Engineer Intern for their post-training team. This role focuses on enhancing large language models and enabling them to follow human instructions. You'll work alongside experts using state-of-the-art training infrastructure, including H100s, to implement cutting-edge research in LLM development.

The post-training team has achieved significant success with projects like Zephyr and NuminaMath, with the latter winning the 1st Progress Prize of the AI Math Olympiad. You'll contribute to developing advanced recipes for model capabilities and make these innovations accessible to the global AI community through code, datasets, and models.

The ideal candidate should have a passion for open-source development, an appreciation for combining technical expertise with creativity, and a desire to make complex technology more accessible. You'll be joining a diverse, inclusive team that values continuous growth and development.

Hugging Face offers a supportive work environment with flexible hours, remote options, and comprehensive development support. The company maintains office spaces globally but embraces a distributed work culture. They provide reimbursement for relevant conferences, training, and education, demonstrating their commitment to employee growth.

The company stands out for its commitment to scientific advancement through collaboration, maintaining an active community of over 5 million users and 100k organizations. Their open-source libraries have garnered more than 400k+ stars on Github, reflecting their significant impact in the AI field.

This internship offers a unique opportunity to work at the forefront of AI development while contributing to the democratization of good AI. You'll gain hands-on experience with cutting-edge technology while working in an inclusive, growth-oriented environment that supports both professional development and work-life balance.

Last updated 15 days ago

Responsibilities For ML Research Engineer Internship, Post-Training

  • Implement cutting-edge research in post-training
  • Work with the post-training team on state-of-the-art models
  • Develop recipes for enhancing large language models
  • Make research accessible through code, datasets, and models
  • Work on training LLMs for reasoning and complex environment navigation

Requirements For ML Research Engineer Internship, Post-Training

Python
  • Cover letter explaining why you want to work in open-source at Hugging Face
  • Interest in training LLMs and working across the deep learning stack
  • Passion for making complex technology accessible
  • Interest in open-source development

Benefits For ML Research Engineer Internship, Post-Training

Education Budget
  • Flexible working hours
  • Remote work options
  • Office visits opportunity
  • Workstation support
  • Conference and education reimbursement
  • Development and training support

Interested in this job?

Jobs Related To Hugging Face ML Research Engineer Internship, Post-Training

Machine Learning Engineer Internship, Hardware Optimization

Machine Learning Engineer Internship focusing on hardware optimization and model deployment across various platforms at Hugging Face.

ML Research Engineer Internship, OS Agents - US Remote

ML Research Engineer Internship position at Hugging Face focusing on developing OS Agents for GUI interaction using LLMs, combining AI research with practical applications.

Machine Learning Engineer Internship, Hardware Optimization - EMEA Remote

Machine Learning Engineer Internship focusing on hardware optimization and AI model deployment at Hugging Face, working remotely with cutting-edge technologies.

Machine Learning Engineer Internship, Hardware Optimization

Machine Learning Engineer Internship focusing on hardware optimization and AI model deployment across various platforms at Hugging Face.

ML Research Engineer Internship, OS Agents

ML Research Engineer Internship position focused on OS Agents at Hugging Face, working remotely in the United States.