Software Engineering Intern (Summer 2027)

San Francisco, CAinternshipOn Site

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Scale AI Software Engineering Intern at Scale AI responsible for building and shipping real, impactful AI systems. Interns work on projects like reinforcement learning pipelines, evaluation infrastructure, and fraud-detection systems with mentorship from experienced engineers.

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

Qualification

Experience with PythonHands-on experience with LLMsTeam Flow — ideas

Required

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

Preferred

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
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

Company

Scale AI

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