Senior Machine Learning Engineer, Data Insights

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 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. About 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 with large-scale advertising datasets and a modern data and ML stack — including Apache Spark, Apache Airflow, Trino, Druid, and StarRocks — and partner closely with software engineers, data scientists, and product managers to turn models into reliable, high-impact products. You will also help shape our generative-AI roadmap, building agentic experiences such as reporting and insights agents and a semantic layer for trustworthy natural-language analytics. The ideal candidate is a proactive, self-motivated professional with a strong track record of applying ML to real business problems at scale and a dedication to delivering measurable outcomes. What You'll Be Doing Develop scalable, effective ML models and data pipelines to power measurement, audience insights, campaign performance intelligence, and advertiser-facing analytics Design and run experiments, measure impact, and translate results into product decisions and customer outcomes Build and productionise 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 Partner with software and ML engineers to deliver end-to-end solutions from data ingestion through downstream products and APIs Work with senior stakeholders to shape ML and Gen-AI strategy for advertising measurement — identifying the right problems for AI, ensuring safety and quality, and driving advertiser productivity Provide technical guidance and mentorship to other engineers, promoting best practices in ML and production engineering Lead data-driven experimentation and advanced measurement — including incrementality and lift studies that quantify the value of advertising on Roku and its incremental impact across an advertiser's broader media mix 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 Computer Science, Computer Engineering, Machine Learning, or a related field (or equivalent experience) Strong computer science fundamentals and the 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 NLP) Strong intuition for defining KPIs, objective functions, and evaluation frameworks for ML-driven systems Proficiency in one or more programming languages such as Python, Scala/Java, or C/C++ Experience with large-scale data platforms (Spark, Trino/Presto, feature stores, data lakes, etc.) Experience building or integrating with LLM/Gen-AI pipelines (prompting, evaluation, retrieval, safety) Nice to have: Experience in AdTech, advertising data platforms, or campaign measurement Familiarity with analytics engines such as Druid, Trino, or StarRocks and visualisation tools like Looker Experience with cloud platforms (AWS, GCP, or Azure) and containerisation tools like Docker and Kubernetes Knowledge of CI/CD pipelines and MLOps best practices Prior publications, patents, or open-source contributions #LI-JB6 What's Roku's approach to hybrid working? 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. What are some of the 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). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support 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. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to [email protected] . What should I know about Roku's 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 . By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice , and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing [email protected] .