Machine Learning Fellow

Note

The job is a remote job and is open to candidates in USA. Scale AI is seeking a Machine Learning Fellow for the Human Frontier Collective Fellowship, which brings together top researchers to collaborate on high-impact AI work. The role involves engaging in significant ML projects, contributing to research publications, and becoming part of an interdisciplinary network.

Responsibilities

• 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, and advising on GPU optimization, scaling, and trade-offs
• Become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains
• Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition

Skills

• 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)
• Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration
• Experience with cloud infrastructure (AWS)
• Experience with MLOps tools (Docker, Langchain)

Benefits

• Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
• 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.

Company Overview

• Scale’s mission is to develop reliable AI systems for the world’s most important decisions. It was founded in 2016, and is headquartered in San Francisco, California, USA, with a workforce of 501-1000 employees. Its website is https://scale.com.