AI Systems Engineer Intern, Public Sector

scaleai; Greater London; Hybrid; GBP 25,000 - 35,000; Full time

Job summary

Scale's Global Public Sector team is hiring for a Summer 2027 internship in San Francisco. Interns own real, shipped work on the same roadmaps as full-time engineers, with mentorship from world-class talent and a culture that values ownership, speed, and truth-seeking.

Many interns return as full-time Scaliens. The role focuses on building AI-powered tools for national LLMs, developing data pipelines, and creating evaluation infrastructure, while collaborating with customers and cross‑functional

Qualifications

• A graduation date in Fall 2027 or Spring 2028 with a Bachelor's in a relevant field.
• Available for a Summer 2027 internship (May/June start) in San Francisco.
• Product engineering experience including building full-stack web apps and API integrations.
• Prior CS/Software Engineering internship experience.
• Track record of shipping high-quality products and features.
• Experience building systems that process large data volumes.
• Experience with Python, Typescript, React, and/or MongoDB.

Responsibilities

• Build reinforcement learning and post-training data pipelines powering frontier model development.
• Develop evaluation infrastructure measuring model reliability for enterprise and public sector customers.
• Ship agentic AI applications and tooling that are observable, testable, and safe to deploy.
• Develop tools to accelerate growth of contributors on Scale's platform.
• Create algorithms to pair contributors with customers for optimal turnaround and accuracy.
• Estimate task quality using models and ensure quality at scale.

Skills

Full-stack development

API integration

Customer facing

Shipping high-quality products

Education

Bachelor's degree in CS or related field

Job description

Scale's Global Public Sector team is hiring for a Summer 2027 internship in San Francisco. Interns own real, shipped work on the same roadmaps as full-time engineers, with mentorship from world-class talent and a culture that values ownership, speed, and truth-seeking.

Many interns return as full-time Scaliens. The role focuses on building AI-powered tools for national LLMs, developing data pipelines, and creating evaluation infrastructure, while collaborating with customers and cross‑functional