The opportunity
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,…
What you'll do
Build multi-layered guardrails that keep agents safe and predictable in high-stakes federal environments
Optimize data retrieval for agents, including RAG pipelines over large, heterogeneous federal datasets
Build orchestration for fleets of asynchronous agents running long-horizon tasks
Develop systems that automatically alert users to deviations and anomalies in incoming data
Create interfaces that illustrate how an agent reached a decision, so operators can audit and trust its output
Develop data pipelines and ML infrastructure that make previously siloed: government data sources accessible to agents
What they're looking for
- 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 users, 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
- Strong written and verbal communication: you will work directly with government stakeholders and must be able to explain technical concepts to non-technical audiences
- Comfort with ambiguity and evolving requirements, and a willingness to learn new domains quickly
