Software Engineer, Public Sector - New Grad
San Francisco, United States · Full-time
- Posted 2w ago
- From Scale AI’s careers page
- Location
- San Francisco, United States
- Type
- Full-time
- Level
- Entry Level
- Experience
- 0+ years
- Department
- Software Development
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About the role
Example Projects
- 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
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 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
Nice to Have
- Hands-on experience with LLMs, evaluations, or agentic systems — whether from internships, research, or personal projects
- Familiarity with cloud platforms (AWS, Azure, GCP), containerization (Docker), and orchestration (Kubernetes)
- Exposure to ETL, data modeling, data warehousing, or data governance
- Prior experience with, or demonstrated interest in, national security, defense, or civil government technology
- 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
Skills they ask for
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About Scale AI
Reliable AI systems for critical decisionsScale AI develops data and AI systems used to support reliable AI and critical decisions across the AI stack.
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