Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.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. The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers and Roku. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time. In this role, you will contribute to the Ads Auction and Marketplace systems that optimize yield, gross profit, and real-time multi-objective outcomes across short- and long-term goals. You will partner closely with Engineering, Inventory, Product, and Data Science teams to translate business objectives into robust technical solutions. You will help design, implement, and evaluate auction improvements through experimentation and performance analysis. Contribute to the design and implementation of real-time ads auction systems for Roku’s CTV advertising platform Develop low-latency, reliable services that handle high-scale ad serving with strict performance and uptime requirements Implement auction logic that balances advertiser performance, publisher yield, and platform revenue Collaborate with product managers, data scientists, and researchers to translate requirements into scalable solutions Participate in A/B testing and experimentation, analyze results, and help implement data-driven improvements Help ensure auction correctness and compliance with privacy, regulatory, and brand-safety requirements Contribute to technical discussions around architecture, scalability, and performance optimization Experience building distributed backend services at scale Strong coding skills in Java and familiarity with service-oriented architectures Familiarity with cloud platforms and containerized deployments Experience collaborating with cross-functional stakeholders across product and data teams Comfort with experimentation frameworks and A/B testing analysis Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. 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. 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 EmployeeRelations@Roku.com . That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
Senior Software Engineer - AI/ML in Cambridge employer: Roku
Roku is an excellent employer, offering a dynamic work environment in Cambridge that fosters collaboration and innovation. With a strong emphasis on work-life balance and comprehensive health benefits, employees are encouraged to grow their skills while contributing to the development of cutting-edge technology. The hybrid work model allows for flexibility, making it an attractive place for those seeking meaningful and rewarding employment.
