Software Engineer, Public Sector, New Grad

Scale AI

San Francisco Bay Area0–12 yrs5h agovia LinkedIn

About the Role

As a New Grad Software Engineer on the Public Sector team at Scale, you will own meaningful, mission-facing work from day one. This includes shipping features, collaborating with government stakeholders who use them, and iterating rapidly.

Key Responsibilities

  • Build multi-layered guardrails for agent safety and predictability 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 performing long-horizon tasks.
  • Develop systems to automatically alert users to deviations and anomalies in incoming data.
  • Create interfaces to illustrate agent decision-making processes, enabling operator audit and trust.
  • Develop data pipelines and ML infrastructure to make siloed government data sources accessible to agents.
  • Build evaluation infrastructure to measure model reliability against mission requirements.
  • Ship full-stack tooling for analysts to query, visualize, and explore mission data.
  • Deploy and harden applications into secure, air-gapped, and cloud-native government environments.

Requirements & Tech Stack

  • 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, including building full-stack web applications, integrating with APIs and services, engaging with users, and iterating on product development.
  • Previous Product/Software Engineering internship experience.
  • Track record of shipping high-quality products and features.
  • Experience building systems that process large volumes of data.
  • Experience with Python, Typescript, React, and/or MongoDB.
  • Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences.
  • Comfort with ambiguity, evolving requirements, and a willingness to learn new domains quickly.

Nice to Have

  • Hands-on experience with LLMs, evaluations, or agentic systems 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.

Compensation

  • Base salary range for this position in San Francisco: $124,000—$162,000 USD.
  • Compensation packages include base salary, equity, and benefits.
  • Benefits include comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.
  • May be eligible for additional benefits such as a commuter stipend.

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