Senior Machine Learning Engineer, Edge AI

at Roku

Cambridge, United Kingdom

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

The Advanced Development team at Roku pushes the boundaries of what’s possible — beyond current product lines — to build what’s next. We explore ideas and technologies that may redefine how millions of people experience entertainment in their homes.

This is a team that operates outside standard shipping cadences and short-term deliverables, focusing instead on foundational technologies that can shape the future of every Roku device. Each team member brings deep technical expertise while maintaining the breadth to see the bigger picture. Collaboration, trust, and curiosity are central to how we work. There’s no room for drama — just people who love to solve complex problems, challenge convention, and create something genuinely new.

About the Role

We’re looking for a Senior Machine Learning Engineer to join our Advanced Development group in Cambridge. You’ll work on Edge AI — deploying, optimising, and scaling intelligent models directly on-device. These are models that run locally on constrained environments, enabling faster, smarter, and more private user experiences.

This is a hands-on, high-impact role for someone who thrives in an environment where innovation meets engineering excellence. You’ll collaborate with a world-class team of software and hardware engineers, contributing across the entire lifecycle of building, optimising, and delivering next-generation intelligent systems.

What You’ll Be Doing

Designing, developing, and deploying machine learning models on embedded and edge platforms, balancing latency, performance, and efficiency.
Implementing and optimising AI inference pipelines for hybrid (device + cloud) deployments.
Writing high-performance C and modern C++ code for Linux-based embedded systems.
Partnering with cross-functional teams to define architecture, integration, and performance targets for new AI-driven features.
Driving innovation by exploring emerging AI frameworks, quantisation techniques, and neural network optimisation methods suitable for constrained hardware.
Contributing across design, implementation, testing, release, and maintenance, taking full ownership of your work from prototype to production.

We’re Excited If You Have

Strong proficiency in C and modern C++, with the ability to write efficient, maintainable, and optimised code.
Experience developing, debugging, or deploying software on Linux-based embedded platforms.
Proven success in building or integrating machine learning models for on-device inference.
Familiarity with frameworks such as TensorFlow Lite, ONNX Runtime, or PyTorch Mobile.
A solid understanding of embedded system architecture, performance trade-offs, and resource constraints.
A collaborative mindset, with the ability to work across software, hardware, and research disciplines.
A degree in Computer Science, Electrical Engineering, Machine Learning, or a related field — or equivalent practical expertise.

#LI-PA1

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.

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