Applied Science Intern, PhD

Confirmed live in the last 24 hours

Roku

Cambridge, United Kingdom

Hybrid

Posted March 30, 2026

Job Description

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 team

Roku continues a long-term trajectory of supporting summer internship roles within the organization, to provide applicants with experience of our enthusiasm, expertise and company culture. 

The Advanced Development, AI @ Roku (Roku’s internal AI productivity suite), Content, and Edge AI team within the Engineering organization has been granted 4 summer internships in 2026. These internships are only available to postgraduate students who are currently studying for a PhD or have recently successfully completed a PhD.

About the role

The purpose of the internship is to involve each student in the work of the AI @ Roku, Content, and Edge AI team. Each student will be assigned a supervisor among the senior members of the team. This supervision aims to ensure that the intern finishes their contract with a clear view of what permanent employment within the AI @ Roku, Content, and Edge AI team would be like. 

All the intern projects will be clearly defined at the outset, easy to get started and challenging to complete, and relevant to the AI @ Roku, Content, and Edge AI team’s Q3 and Q4 2026 goals. 

Project outlines:

Multi-modal AI: Building new experiences for TVs with Vision-Language Models, focusing on multi-modal understanding and natural language interaction.
Developing multimedia content generation techniques
Content understanding and analysis for episodic and cinematic videos
Deploying and optimizing AI algorithms to the edge
Using AI to improve image and video