Software Engineering Intern (Summer 2027)

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.

Example Projects

• 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

Requirements

• 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

Nice to Have

• 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

How We Work

Our credos shape how we make decisions and work as a team:

• Earn Customer Love — trust is earned with every interaction, every delivery, and every problem we solve
• Team Flow — ideas, energy, and support move freely across teams; optimize for the whole
• Quality is Our Cheat Code — the systems that deliver quality consistently are a structural advantage
• Find the 20% — find the inputs that drive the outcomes and execute them completely
• Write the Market — our research puts us at the frontier, and we bring our partners there first
• Three Moves Ahead — consider the consequences of consequences, and plan accordingly