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Machine Learning Fellow - Human Frontier Collective (UK) - Remote Eligible

Own the evaluation framework for experimental generative models within the Human Frontier Collective Fellowship
Remote
Senior
$80 USD per hour
1 week ago
Scale AI

Scale AI

Provides data infrastructure, labeling, and tools to build, train, and evaluate high-performing AI models for enterprises and governments.

Machine Learning Fellow - Human Frontier Collective (UK)

This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the country they reside in.

About the Program

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.

What You'll Do

  • Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design and review advanced deep learning problems while analyzing and critiquing complex ML code and AI-generated PyTorch implementations. Apply expert judgment on GPU performance, profiling, and hardware-aware architecture and scaling trade-offs.
  • HFC Community: Beyond the work, you'll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
  • Contribute to Research Publications: Collaborate with Scale's research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition.

Who Should Apply

  • Advanced degree (PhD or higher) in Computer Science, Electrical/Computer Engineering, Applied Math, AI/ML, or a related field.
  • Hands-on experience building and fine-tuning deep learning models in PyTorch, including architectures like Transformers, CNNs, and diffusion models.
  • Familiarity with GPU performance and optimization, including memory management, CUDA kernels, and profiling tools.
  • Skilled at analyzing research-level model code and giving clear, actionable feedback.
  • Able to clearly explain complex ML behaviors and trade-offs.

Why Join the HFC?

  • 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. 80% of our members come from leading institutions.
  • Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
  • Competitive Pay: Up to $80/hr, based on experience, skills assessment, and location.

Application Process

  1. Apply: We review applications on a rolling basis.
  2. Interview: Candidates will get to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI.
  3. Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship.

Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

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Machine Learning Fellow - Human Frontier Collective (UK) - Remote Eligible
Remote
$80 USD per hour
Software
About Scale AI
Provides data infrastructure, labeling, and tools to build, train, and evaluate high-performing AI models for enterprises and governments.