Senior Machine Learning Engineer - Recommendations

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 Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetize large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available worldwide through direct retail sales and licensing arrangements with TV brands and pay-TV operators. About the role We seek an outstanding, creative, and passionate Machine Learning engineer to join Roku's Recommendation team. You will be responsible for building and owning the next generation of content recommendations and other algorithms/systems that will make the experience for our many millions of Roku users 100% personalized and unique. What you'll be doing Apply state of the art ML on recommendations using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimizations to make our users more delighted and engaged on the platform Run online AB tests and analyze them against the critical business KPIs Collaborate with US engineering teams as well as cross-functional teams to translate business requirements into technical specifications Nurture our ML ecosystem to make it withstand scale, developer velocity and future business shifts Help in training and mentoring new team members We're excited if you have • 5+ years of experience applying Machine Learning to concrete problems at large scale. • Strong CS fundamentals. Should be able to write an algorithm with ease. • Solid understanding of Data Science and ML fundamentals – Regression, Classification, Tree-based approach, Neural network, and sequence-based models. • Understanding of NLP approaches like W2V or Bert. Should be able to identify the right KPIs and Objective functions. • Good understanding of system architecture. • Have experience in big data technologies – streaming architecture, data pipelines, etc. • Bachelors in Computer Science, Statistics, or related field Preferred Skills • Build Recommender Systems for a living • Experience with Java, Scala, or Python • Work with big data systems – Spark, EMR, S3, AirFlow • Hold an MS or PhD in CS or related fields • AI literacy and curiosity.You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it. 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 lo…