Machine Learning Engineer - AdTech

You’ll join Praveen Krishnaiah’s Native Ads Modelling team building the ML systems behind ad relevance, bid and yield optimization, and real-time, low-latency ad serving. This is a senior, hands-on ML engineering role spanning modelling, large-scale training, and production infrastructure - you’ll take models from idea through to serving at scale, working in Spark, Python, and Java. You’ll work closely with Praveen and the wider Ad Performance ML team. Based in the UK (Manchester-anchored)., * Design, train, and ship ML models for ad relevance and bid/yield optimization

• Build and maintain production ML infrastructure for real-time, low-latency serving
• Work across Spark, Python, and Java to move models from research to production
• Apply sound feature engineering, validation, and evaluation practices throughout the modelling lifecycle
• Diagnose production ML issues such as model drift or long-tail classification problems
• Communicate technical trade-offs clearly to engineering and cross-functional partners, Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days’ a week attendance.

• Senior-level ML engineering experience, ideally with exposure to ad tech, recommendation, or auction systems
• Strong grounding in ML fundamentals, feature engineering, and model evaluation
• Experience with Spark, Python, and Java in production ML settings
• Comfort with production ML infrastructure and real-time, low-latency serving requirements
• Demonstrated AI/agentic-tooling fluency per the section above
• Clear communicator who can explain reasoning and trade-offs, not just conclusions

Roku is the No. 1 TV streaming platform in the U.S., Canada, and Mexico with 70+ million active accounts. Roku pioneered streaming to the TV and continues to innovate and lead the industry. Roku enables our users to access millions of pieces of content - movies, episodes, news, sports, music, and channels - from all around the world, and our advertising systems connect advertisers to that audience at scale., 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.

We value your AI skills if you have built fluency across the agentic engineering toolchain - coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks - and can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you., 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.