Software Engineering Intern (Summer 2027)

Scale AI develops reliable AI systems, high-quality data, and full-stack technologies for important enterprise and government applications. The Software Engineering Intern will own and ship production engineering work across areas such as AI infrastructure, data pipelines, evaluation systems, agentic applications, fraud detection, matching algorithms, and UI/UX tooling.

What you'll do:

• Build reinforcement learning and post-training data pipelines that power frontier model development
• Develop evaluation infrastructure that measures model reliability for enterprise and public sector customers
• Ship agentic AI applications and the tooling that makes them observable, testable, and safe to deploy
• Ship tools that accelerate the growth of new qualified contributors on Scale's platform
• Build fraud-detection systems that remove bad actors and keep Scale's contributor base safe and trusted
• Use models to estimate the quality of tasks and contributors, and guarantee quality on requests at large scale
• Devise advanced matching algorithms that pair contributors to customers for optimal turnaround and accuracy
• Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ contributors completing billions of complex tasks
• Develop new AI infrastructure products to visualize, query, and explore Scale data

What they're looking for:

• A graduation date in Fall 2027 or Spring 2028 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics)
• Available for a Summer 2027 internship (May/June start dates) in San Francisco
• Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to customers, figuring out 'what' to build and then iterating
• Previous Computer Science/Software Engineering internship experience
• Track record of shipping high-quality products and features
• Experience building systems that process large volumes of data
• Experience with Python, Typescript, React, and/or MongoDB
• Hands-on experience with LLMs, evaluations, or agentic systems — whether from coursework, research, or personal projects
• Open source contributions or a portfolio of shipped side projects

Benefits:

• Mentorship from world-class talent
• Interns own real, shipped work on the same roadmaps as full-time engineers