Machine Learning Fellow - Human Frontier Collective (US)
Remote • United States
Posted 2mo ago
Job Location
United States
Tech Stack
Remote Work Policy
Fully remote
Categories
Machine Learning Engineer
About the job
The Human Frontier Collective (HFC) Fellowship is a fully remote, six-month independent contractor opportunity designed to bring together top researchers and domain experts to collaborate on high-impact AI projects. Fellows will apply their expertise to design, evaluate, and interpret advanced generative AI systems, gaining exposure to cutting-edge research and working with an interdisciplinary network of leading thinkers. This role offers a flexible schedule with 10-40 hour work weeks and competitive pay based on project scope and skillset. Candidates must be authorized to work in the United States, as visa sponsorship is not provided.
Responsibilities
- Engage in high-impact ML projects with partnered AI labs and platforms.
- 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 the 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 for applied AI research and collaboration.
Benefits
- Fully remote work arrangement.
- Flexible schedule (10-40 hours per week).
- Potential for extension beyond six months.
- Exposure to cutting-edge research.
- Access to an interdisciplinary network of leading thinkers.
- Professional development opportunities.
- Competitive pay (project-based).