Software Engineering Intern (Summer 2027)
About the role
Internship for Scale's Global Public Sector team. Interns own real, shipped work on the same roadmaps as full-time engineers with mentorship, contributing to AI applications, data pipelines, evaluation infrastructure, and tooling for public sector and large-scale contributor platforms.
Responsibilities
- 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
Qualifications
- 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)
- 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
Skills
Benefits
- Mentorship from world-class talent
- Ownership of shipped work on Roadmap parallel to full-time engineers
- Collaborative, ownership-oriented culture
- Potential path to full-time employment

About Scale AI
Data-centric infrastructure to accelerate the development of AI
Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.
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