What does the team work on?
Roku is the No. 1 TV streaming platform in the US, Canada and Mexico, with more than 100 million active accounts. Every ad impression across that platform has to be cleared and priced in real time — that is what the Ads Auctions and Marketplace Optimization team does. We build the auction mechanics, the pricing and pacing logic, and the low-latency systems that run them, balancing outcomes for advertisers, publishers, viewers, and Roku on every request. We are growing the team in Cambridge, which is becoming its largest hub, alongside colleagues in Amsterdam, Austin, San Jose, Ukraine and Uruguay — so you would be shaping how the UK side of this team works rather than inheriting it.
You will build the systems that apply mathematical and algorithmic rigour to optimise across multiple objectives, deciding which ads get served, in which placements, and when. The work spans auction mechanics, optimisation, the output of predictive ML models, and the real-time infrastructure underneath, mostly in Java on the JVM. It is hands-on and senior in scope: expect to move between whiteboard-level design and production code in the same week, and to own problems from framing through rollout. You will work directly with the hiring manager and a small group of senior engineers, in codebases shared with other ads engineers, on problems where your decisions are visible in revenue. You will optimise for second-order effects in a marketplace where participants react to each other, and to us, in real time. We are looking for people who are enthusiastic about solving these kinds of problems.
How will I use AI at Roku?
At Roku, we don’t just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We’re looking for curious, adaptable builders who can show how they’ve used AI or automation to move faster, raise the bar, and scale their impact.