Machine Learning Fellow - Human Frontier Collective (US)

Scale AI

9h • $80 • Remote

About The Position

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.

Requirements

• 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.

Responsibilities

• 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 (e.g., SciPredict, PropensityBench, Professional Reasoning Benchmark).

Benefits

• 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.

What This Job Offers

• Job Type: Part-time
• Education Level: Ph.D. or professional degree