About the role
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the role
Join Roku as an Engineering Intern and help build the agentic AI powering America’s #1 TV streaming platform. Roku reaches more than 100 million households worldwide, and we’re building production-grade AI agents across the products and platforms that serve them. We offer a paid 12-week internship, running from June to early September 2027.
As an Engineering Intern, you’ll be assigned a scoped project with one of our engineering teams and matched to the team that best fits your skills and interests. You’ll work on real problems, such as agents that investigate failures, automate workflows, review or generate code, or help people make complex decisions. You’ll learn how to take an AI-powered idea from prototype to something people actually use, with a mentor alongside you and real ownership from day one.
Our teams work across a variety of languages and technologies, from user interfaces and embedded software to platform services, automation and developer tooling, and embrace AI-assisted development to boost productivity and quality.
What you’ll be doing
- Own a well-defined project that contributes to the success of your team, from defining the problem through to delivery.
- Build and test AI agents, copilots and automated workflows that perform meaningful, multi-step work.
- Connect agents to trusted data, services and internal tools, using approaches such as retrieval, tool calling and orchestration, and help define what an agent may do on its own and when it should hand over to a person.
- Evaluate your work: measure whether it does the job well, check its reliability and failure modes, and keep improving it based on real feedback.
- Use AI coding tools every day to move faster, and validate everything they produce through testing, review and your own judgment.