Scale AI New Grad Software Engineer at Scale AI owning meaningful customer-facing AI products from day one. Work includes building reinforcement learning pipelines, evaluation infrastructure, and fraud-detection systems.
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
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
Qualification
Experience with PythonHands-on experience with LLMsTeam Flow — ideas
Required
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
