Software Engineer, New Grad

About the Role

As a New Grad Software Engineer at Scale, you will own meaningful, customer-facing work from day one. You will ship products, talk directly to the customers who use them, and iterate fast.

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 & Tech Stack

• 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

Compensation

The base salary range for this full-time position in the location of San Francisco is: $124,000—$162,000 USD.

Compensation packages include base salary, equity, and benefits. Eligible employees are granted equity-based compensation, subject to Board of Director approval. Benefits include, but are not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend.