The Machine Learning Fellow role in the Human Frontier Collective (HFC) at Scale AI is a fully remote 1099 independent contractor position lasting approximately six months, with potential for extension. Fellows will work closely with top AI labs and Scale AI’s research team to design, evaluate, and optimize advanced generative AI systems while contributing to high-impact research and publications.
What You'll Do
- Engage in high-impact ML projects with partnered AI labs and platforms
- Help models understand real-world deep learning workflows
- Design, review, and optimize PyTorch models
- Evaluate complex ML code and AI-generated implementations for efficiency and correctness
- Advise on GPU optimization, scaling, and trade-offs
- Become part of an interdisciplinary network of innovators and thought leaders advancing frontier AI
- Collaborate with Scale’s research team to co-author technical reports and research papers
- Contribute to research publications such as SciPredict, PropensityBench, and Professional Reasoning Benchmark
What We're Looking For
- 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)
Nice to Have
- Experience with cloud infrastructure (AWS)
- Experience with MLOps tools (Docker, Langchain)
Technical Stack
Python, PyTorch, TensorFlow, AWS, Docker, Langchain
Team & Environment
Join an interdisciplinary network of leading thinkers and experts, part of a global network of engineers and specialists where 80% are from top institutions. You will report to the Scale AI research team and HFC leadership.
Benefits & Compensation
- Fully remote work
- Flexible schedule with 10–40 hour weeks; set your own hours
- Professional development through review projects, advisory roles, and research
- Opportunity to deepen AI expertise and strengthen analytical and problem-solving skills
- Engagement with pioneering AI applications in science and technology
- Collaboration with a top-tier global network of innovators
- Co-authorship on technical reports and research papers
- Increased academic visibility and professional recognition
Project pay rates vary across platforms and depend on factors including projects, scope, skillset, and location.
Work Mode
Fully remote with flexible 10–40 hour weeks; set your own schedule. This role is open to candidates in Canada.
Scale AI is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or Veteran status. The company provides reasonable accommodations to applicants with disabilities and complies with U.S. Department of Labor's Pay Transparency provision.
