Software Engineering Intern (Summer 2027)

San Francisco, CA💼 Internship🗓 2026-09-04 → 2026-09-27

Core

Build reinforcement learning pipelines, evaluation infrastructure, agentic AI applications, fraud-detection systems, and AI infrastructure products for enterprise and public sector customers.

Role type

Summer 2027 Software Engineering Intern (Product Engineering)

Builds

Reinforcement learning data pipelines, model evaluation tools, agentic AI applications, fraud-detection systems, and AI infrastructure products.

Domain

Artificial Intelligence / Machine Learning / Data Infrastructure

Deliverable

production ML models | product features | infrastructure

Required skills

Full-stack web app development, API integration, system design for large-scale data processing, Python, TypeScript, React, MongoDB

Preferred skills

LLMs, model evaluations, agentic systems, open source contributions, shipped side projects

Technologies

Python, TypeScript, React, MongoDB

Responsibilities

Build reinforcement learning and post-training data pipelines; Develop evaluation infrastructure for model reliability; Ship agentic AI applications and observability tooling; Build fraud-detection systems; Create optimized UI/UX tooling combined with ML algorithms; Develop new AI infrastructure products for data visualization and querying.

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About scaleai

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.