Senior Machine Learning Engineer

Roku•Boston, MA

11h•$195,500 - $352,100•Hybrid

About The Position

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 highly scalable and highly available real-time advertising platform is crucial for supporting and growing Roku's advertising business. The mission of the Ad Engineering Team is to build this platform. The Ad Serving team designs, builds, deploys, and operates Roku’s Supply-Side, Ad Mediation, and Demand-Side platforms, which sit at the core of Roku’s ad monetization and are critical to the business. We are looking for a staff-level machine learning engineer with deep research and data science expertise to lead marketplace intelligence and demand optimization initiatives. About the Role This role will drive improvements in Roku Exchange efficiency by applying advanced data analytics and machine learning techniques to optimize pricing, allocation, and auction across the marketplace.

Requirements

10+ years of industry experience applying machine learning and data science to solve complex, mission-critical real-world problems
Deep expertise in statistics, machine learning, and optimization techniques
Perform as a staff+ technologist on complex, revenue-critical, large-scale distributed ML systems
Hands-on experience building and deploying ML models in production, including feature engineering, model serving, monitoring, and continuous improvement
Solid software engineering skills in languages such as Python, SQL, and Java/Scala
Strong CS fundamentals with the ability to translate ideas into clean, efficient code with ease
Excellent written and verbal communication and collaboration skills
Proven track record of leading cross-functional teams and initiatives

Nice To Haves

Publications in leading peer-reviewed conferences or academic journals are a plus
Expertise in advertising is a plus

Responsibilities

Translate ambiguous business problems into clear hypotheses, measurable objectives, and actionable strategies
Develop advanced ML models and research-driven methodologies to drive product innovation and improve business outcomes
Design and run live experiments to prototype improvements and validate their effectiveness
Build production-grade ML systems that operate reliably in large-scale, low-latency ad serving environments
Partner with cross-functional stakeholders to define, plan, and drive the ML strategy for Ad Serving
Provide technical leadership and mentorship in machine learning, experimentation frameworks, and applied research best practices