Backed by Accel, Index and Y Combinator.
About the role
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, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.
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
More about this role
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, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.
Scale's internship is not a side project. Interns own real, shipped work on the same roadmaps as full-time engineers, with mentorship from world-class talent and a culture that values ownership, speed, and truth-seeking. Many of our interns return as full-time Scaliens.
- 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...
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