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Scale AI

Supplies AI training data and builds AI apps

Software Engineer New Grad - Public Sector

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • A graduation date in Fall 2026 or Spring 2027 and a Bachelor's degree (or equivalent) in a relevant field such as Computer Science, EECS, Computer Engineering, or Statistics.
  • Product engineering experience, such as building full-stack web applications, integrating relevant APIs and services, speaking with users, determining what to build, and iterating.
  • Previous Product or Software Engineering internship experience.
  • A 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 to work directly with government stakeholders and explain technical concepts to non-technical audiences.
  • Comfort with ambiguity and evolving requirements, and willingness to learn new domains quickly.

Responsibilities

  • Build multi-layered guardrails that keep agents safe and predictable in high-stakes federal environments.
  • Optimize data retrieval for agents, including retrieval-augmented generation 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, enabling operators to audit and trust its output.
  • Develop data pipelines and machine-learning 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.

Desired Qualifications

  • Hands-on experience with large language models, evaluations, or agentic systems, whether from internships, research, or personal projects.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP, containerization with Docker, and orchestration with Kubernetes.
  • Exposure to extract, transform, and load processes, 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.

About the Company

Scale AI

Supplies AI training data and builds AI apps

Scale AI supplies the data that AI labs use to train and test their models, and it builds custom AI applications for companies and government agencies such as the Pentagon. It first made its name labeling camera and sensor data for self-driving car companies like Waymo, then worked with OpenAI on InstructGPT, the 2022 forerunner of ChatGPT. Freelancers, some of them doctors and lawyers, write, label, and grade examples through its Outlier platform, and labs pay Scale for this data and for tests of model quality. Clients pay Scale to build AI tools on their own data, and some of those tools run on classified military networks. Alexandr Wang and Lucy Guo founded Scale AI in 2016, and it is based in San Francisco.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$1.6B
Headquarters
San Francisco, CA
Founded
2016

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