Software Engineer - New Grad

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.

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

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employe …