Software Engineer, Public Sector - New Grad

Description

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.

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

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. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We comply with the United States Department of Labor's Pay Transparency provision .

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
• 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

Conditions

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

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of San Francisco is:

$124,000 - $162,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.