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Machine Learning Fellow - Human Frontier Collective

United States B2B 80.00 - 100.00 USD / Hour · Job Posted February 20, 2026
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Job Description

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

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