Tech Stack
Responsibilities
- Engage in high-impact ML projects, designing, reviewing, and optimizing PyTorch models for partnered AI labs.
- Evaluate complex ML code and AI-generated implementations for efficiency and correctness.
- Advise on GPU optimization, scaling, and trade-offs for deep learning workflows.
- Become part of a supportive, interdisciplinary network of innovators and thought leaders.
- Collaborate with Scale’s research team to co-author technical reports and research papers.
Benefits
- Flexible Hours
- Health Insurance
- Learning Budget
- Remote Work
Culture
Cross-Functional TeamsMentorship ProgramFlexible HoursWork-Life BalanceInclusive Hiring
Requirements
Required: PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field
Regions: Us
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About Scale
Industry: ai
Size: enterprise
Scale AI is building the data infrastructure behind the world's most capable AI systems, providing high-quality data and full-stack technologies to power leading models and help enterprises and governments deploy AI applications.
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