Senior Machine Learning Engineer, Search & 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 is the No. 1 TV streaming platform in the U.S., Canada, and Mexico with 70+ millions of active accounts. Roku pioneered streaming to the TV and continues to innovate and lead the industry. We believe Roku’s continued success relies on its investment in our machine learning/ML recommendation engine. Roku enables our users to access millions of contents including movies, episodes, news, sports, music and channels from all around the world. About the role The depth of query, content and user understanding using ML i s key to user happiness in their search journey . Solving this customer problem is why we're actively looking for a Senior Machine Learning Engineer, Search Recommendations to drive further innovation in search and discovery . The person in this role will leverage their technical skills, business intuition, and analytical thinking to build best of class AI powered products. Hence, communication and presentation skills are important. The role requires both high technical acumen and problem-solving abilities, motivation, and exceptional attention to detail. Every day, you'll look at what exists and find ways to make it better. What you'll be doing Apply state of the art ML on search using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimisations to make our users more delighted and engaged on the platform Run online AB tests and analyse 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 Provide technical leadership to drive technical and ML roadmap for search ranking and monetisation Help in recruiting new engineers. Interview, train, and mentor new team members We're excited if you have 8+ years of experience (or PhD with 6 years of experience) applying Machine Learning to concrete problems at large-scale in domains like recommendation or search or ads Strong CS fundamentals. Should be able covert ideas to code with ease Good understanding of machine learning fundamentals like classification, deep neural nets, and sequence-based models. Familiarity with modern NLP stack and multi-modal representation learning is a plus We'd love to see that you've worked with big data systems (Spark, S3, and Airflow) and can program (Java, Scala, or Python) Good understanding of system architecture. Have experience in big data technologies and streaming architecture, data pipelines, etc. MS in Computer Science, Statistics, or related field, but a Ph.D. in CS or related fields is preferred #LI-MS3 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. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to ... (truncated, view full listing at source)