Machine Learning Fellow - Human Frontier Collective (UK)
Salary not listed • Remote • United Kingdom • Full-time
Posted 8mo ago
This job has been open for more than 60 days. It may no longer be actively hiring, so check with the company before putting a lot into an application.
Job Location
United Kingdom
Tech Stack
Remote Work Policy
Fully remote
Employment Type
Full-time
Categories
Machine Learning Engineer
About the job
The Human Frontier Collective (HFC) Fellowship is a program that brings together top researchers and domain experts to collaborate on high-impact AI projects. As an HFC Fellow, you will apply your expertise to design, evaluate, and interpret advanced generative AI systems, gaining exposure to cutting-edge research and working with a diverse network of leading thinkers. This is a fully remote, independent contractor opportunity with a flexible schedule, offering a chance to contribute to influential ML projects, co-author research publications, and develop your AI expertise within a supportive community.
Responsibilities
- Design, review, and optimize PyTorch models for real-world deep learning workflows.
- Evaluate complex ML code and AI-generated implementations for efficiency and correctness.
- Advise on GPU optimization, scaling, and trade-offs.
- Collaborate with Scale's research team to co-author technical reports and research papers.
Requirements
- PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field.
- 1-3+ years of experience as a Machine Learning Engineer or Data Scientist.
- Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow).
- Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration.
Benefits
- Fully remote
- Independent contractor opportunity
- Potential for extension
- Flexible schedule (10-40 hours/week)
- Competitive pay (project-based)
- Professional development opportunities
- Access to a top-tier network of engineers and experts