Tech Stack
Responsibilities
- Engage in high-impact projects with partnered AI labs and platforms.
- Design complex, domain-specific problems and datasets to rigorously evaluate AI models.
- Provide expert insights to enhance AI model accuracy, reasoning, and overall performance.
- 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 ProgramLearning BudgetFlexible HoursInclusive Hiring
Requirements
Required: PhD in Computer Science, Machine Learning, Physics, Biology, Chemistry, Mathematics, Humanities, or related disciplines
Regions: Us
Get jobs like this in your inbox
Weekly AWS, TypeScript hiring trends and salary data — free.
Join 6 engineers getting weekly insights
Get market intelligence in your inbox
Free weekly insights on tech hiring trends, salaries, and in-demand stacks.
Already a subscriber? Sign in
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.
View company profile →