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Machine Learning Fellow - Human Frontier Collective

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Scale

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Location:
United Kingdom

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Contract Type:
B2B, Contract work

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Salary:

80.00 - 100.00 USD / Hour

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
  • 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)

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, while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology
  • Join a Top-Tier Network: Collaborate with a global network of engineers and experts to advance responsible AI through impactful, flexible research and training
  • Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments

Additional Information:

Job Posted:
February 20, 2026

Work Type:
Remote work
Job Link Share:

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