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
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
Please reference the job posting's subtitle for where this position will be located.
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
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help 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. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.