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Applied Scientist PhD Intern, Machine Learning & Computer Vision

Internships | Cambridge | ID: 09858

Applied Scientist PhD Intern, Machine Learning & Computer Vision

Teamwork makes the stream work.

Roku is changing how the world watches TV

Roku is the #1 TV streaming platform in the US 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, IoT, Content, and Edge AI (ICE-AI) team within the Engineering organization has been granted 5 summer internships in 2025. 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 IoT, 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 IoT, 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 IoT, Content, and Edge AI (ICE-AI) team’s Q3 and Q4 2025 goals.

Project Outlines:

Building new experiences for IoT cameras with VLMs
Developing multimedia content generation techniques
Content understanding and analysis for episodic and cinematic videos
Deploying and optimizing AI algorithms to the edge
Picture quality
ML on embedded devices

What you'll be doing

Define, agree, and track the meaningful measures (KPIs) of success in the project.
Collaborate effectively with other members of the project team to achieve goals.
Contribute meaningfully to the implementation and delivery of the project.
Identify and communicate key learnings within and across project teams.
Actively partner with experts in the project field in Cambridge, and internationally.

We’re excited if you have

PhD in STEM discipline (current or recent)
Strong problem-solving and analytical skills
Excellent communication and presentation skills
Proficient in data visualization and interpretation
High-level proficiency in Python
Background in mathematics, statistics, and CS
Ability to design and implement machine learning models
Familiarity with machine learning frameworks (PyTorch, Tensorflow)
Understanding of machine learning and computer vision algorithms and techniques

#LI-TP1

Benefits

Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.

The Roku Culture

Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. 

We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. 

To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.

By providing your information, you acknowledge that you have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms.

Thanks for considering a role at Roku. Take a moment to complete the form below. We ask that you remove any photos from your resume or CV before submitting your application.

Additionally, providing false, misleading, or inaccurate information or responses will void this application and disqualify you from consideration. If employed by Roku, it will result in the immediate termination of employment regardless of when Roku discovers misleading or inaccurate information.

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