The board
Scale AI · University- Pay
- $124,000–$162,000/yr
- Where
- San Francisco, CA
- Posted
- Sep 23
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.
Public Sector engineers build the core product including the systems required to ingest and process federal datasets that support real-time decision-making in contested environments. As a New Grad Software Engineer on this team, you will own meaningful, mission-facing work from day one: shipping features, sitting with the government stakeholders who use them, and iterating fast.
What you'd 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
- Build evaluation infrastructure that measures model reliability against mission requirements
- Ship full-stack tooling that lets analysts query, visualize, and explore mission data
- Deploy and harden applications into secure, air-gapped, and cloud-native government environments
What they want
- 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
About Scale AI · University
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.