The opportunity
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy,…
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
What they're looking for
- A graduation date in Fall 2026 or Spring 2027 with a Bachelor's degree (or: equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics)
- 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 Product/Software Engineering internship experience
- Track record of shipping high-quality products and features at scale
- Experience building systems that process large volumes of data
- Experience with Python, Typescript, React, and/or MongoDB
