Senior Machine Learning Engineer, Data Insights

Roku — Bengaluru, India

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. What does the team work on? The Data Insights team plays a critical role in Roku's Advertising organisation, leading measurement and analytics initiatives that power decision-making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal teams. We work closely with Product Managers, Data Science, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions. We are investing in machine learning and generative AI to transform how advertisers measure, understand, and optimise their campaigns — from predictive measurement models to agentic, natural-language analytics experiences. What is the role? We are seeking a highly skilled Senior Machine Learning Engineer to design, build, and productionise ML and generative-AI systems that power Roku's advertising measurement and insights products. This role bridges applied machine learning and production engineering: you will own models end-to-end, from framing the problem and engineering features through deployment, monitoring, and iteration at scale. You will work wit

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