Software Engineer - New Grad

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

Requirements

• 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

Nice to Have

• Hands-on experience with LLMs, evaluations, or agentic systems — whether from internships, 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