Senior Software Engineer, Machine Learning - Data Platforms

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 A reliable, privacy-safe, and scalable data foundation is critical to Roku’s rapidly growing advertising business. The Ad Data Activation organization builds the identity systems, device graph pipelines, audience platforms, insights tooling, and data collaboration capabilities that power targeting, measurement, and reporting across Roku Ads. We are hiring a Senior Machine Learning Engineer to help drive intelligence across these systems. You will work at the intersection of large-scale data platforms, applied machine learning, and generative AI — building capabilities that make Roku's advertising data more actionable for internal teams and advertisers. This includes building core generative AI platform features for Roku Advertising, while also applying traditional ML techniques to improve accuracy, automation, and decisioning across the ecosystem. If you enjoy working across data, ML, and new Gen-AI patterns — and want to shape how intelligence shows up inside Roku Ads — this role is for you. About the role In this role, you will design, build, and productionize intelligent capabilities that combine agentic Gen-AI systems with conventional ML pipelines across identity resolution, audience modeling , attribution, and optimization workflows. You will work with massive datasets, develop pipelines that transform raw signals into actionable features, and partner closely with product, data science, and platform teams. What you will be doing Develop scalable and effective ML models and data pipelines to power identity, graph enrichment, audience segmentation, and campaign performance intelligence Design and run experiments, measure impact, and translate results into product decisions and customer outcomes Build and productionize agentic, generative-AI features — including reporting and insights agents, campaign-monitoring agents (with human-in-the-loop controls), and a semantic layer for reliable, natural-language analytics Improve automation, reliability, and scalability across model training, feature engineering, deployment, and monitoring frameworks Work closely with software and ML engineers to deliver end-to-end solutions from data ingestion through downstream systems Partner with senior stakeholders to shape ML and Gen-AI strategy for Ad Data Activation — identifying the right problems for AI, ensuring safety, and driving advertiser productivity . We’re excited if you have 5+ years of experience applying ML or data science to real business problems at scale Master’s degree (or higher) and 4+ years of experience in CS, CE, ML, or a related field Strong CS fundamentals and ability to design efficient algorithms and production systems Experience with ML approaches used in large-scale data problems (e.g., regression, classification, tree-based methods, embeddings, sequence models, or basic NLP) Strong intuition for defining KPIs, objective functions, and evaluation frameworks for ML-driven systems PREFERRED QUALIFICATIONS Knowledge of programming languages such as Python, Scala/ Java, C/C++, or similar Experience working with large-scale data platforms (Spark, Presto/Trino, feature stores ... (truncated, view full listing at source)