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The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.
Job Responsibility:
Get invited to engage in high-impact projects with our partnered AI labs and platforms
Help models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models
Evaluating complex ML code and AI-generated implementations for efficiency and correctness
Advising 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)
Nice to have:
Experience with cloud infrastructure (AWS) and MLOps tools (Docker, Langchain)
What we offer:
Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research
Join a Top-Tier Network: Collaborate with a global network of engineers and experts
Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments