Software Engineer, Scale AI

• 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

Desirable

• 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
• Every industry is moving AI to the center of operations, but there is still no clear blueprint for getting from pilot to profit. That is the problem our engineers work on. As a New Grad Software Engineer, you will own meaningful, customer-facing work from day one — shipping products, talking directly to the customers who use them, and iterating fast
• Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
• Creating custom AI applications that will impact millions of citizens
• Generating high-quality training data for national LLMs
• Upskilling and advisory services to spread the impact of AI
• 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
• Build a customer service RAG application that handles thousands of questions a day
• Integrate a cutting-edge ML model that predicts churn into a customer's retention system