<div class="content-intro"><h2 style="font-family: GothamBold,Helvetica,Arial,sans-serif; color: #662d91;">Teamwork makes the stream work.</h2> <p> </p> <h3 style="font-family: GothamBold,Helvetica,Arial,sans-serif;"><strong>Roku is changing how the world watches TV</strong></h3> <p>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.</p> <p>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.</p> <p> </p></div><h3><span data-contrast="auto">About the team</span><span data-ccp-props="{}"> </span></h3> <p><span data-contrast="auto">The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers, and Roku. The systems and solutions span multiple disciplines and technologies to perform real-time multi-objective optimization across large-scale distributed systems with low latency. 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, which powers the entire landscape, and we continuously evolve.</span></p> <p> </p> <h3><span data-contrast="auto">About the role</span><span data-ccp-props="{}"> </span></h3> <p><span data-contrast="auto">We’re on a mission to build cutting-edge advertising technology that empowers businesses to run sustainable and highly profitable campaigns. The Ad Performance team owns server technologies, data, and cloud services designed to improve the ad experience. We're looking for seasoned engineers with machine learning backgrounds to support this mission. Examples of problems include improving ad relevance, inferring demographics, optimizing yield, and more. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning using both general-purpose software and statistical languages.</span></p> <p><span data-contrast="auto"><span class="TextRun SCXW118401913 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW118401913 BCX0">For California Only - The estimated annual salary for this position is between $229,500 - $367,100 annually.</span></span> <span class="TextRun SCXW118401913 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW118401913 BCX0">Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location.</span></span> <span class="TextRun SCXW118401913 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW118401913 BCX0">This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.</span></span><span class="EOP Selected SCXW118401913 BCX0" data-ccp-props="{"134233117":false,"134233118":false,"335551550":1,"335551620":1,"335559738":0,"335559739":0}"> </span></span></p> <p> </p> <h3><span data-contrast="auto">What you’ll be doing</span><span data-ccp-props="{}"> </span></h3> <ul> <li><span data-contrast="auto">ML infrastructure: Help build a first-class machine learning platform from the ground up, which manages the entire model lifecycle - feature engineering, model training, versioning, deployment, online serving/evaluation, and monitoring prediction quality</span></li> <li>Data analysis and feature engineering: Apply your expertise to identify and generate features that can be leveraged by multiple use cases and models</li> <li>Model training with batch and real-time prediction scenarios: Use machine learning and statistical modeling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis and others to develop and evaluate algorithms for improving product/system performance, quality, and accuracy</li> <li>Production operations: Low-level systems debugging, performance measurement, and optimization on large production clusters</li> <li>Collaboration with cross-functional teams: Partner with product managers, data scientists, and other engineers to deliver impactful solutions</li> <li>Staying ahead of the curve: Continuously learn and adapt to emerging technologies and industry trends</li> </ul> <p> </p> <h3>We’re excited if you have<span data-ccp-props="{}"> </span></h3> <ul> <li><span data-contrast="auto">Bachelor's, Master's, or PhD in Computer Science, Statistics, or a related field</span></li> <li>5 years of experience in applied machine learning on real use cases </li> <li><span data-contrast="auto">Proficient coding skills and strong software development experience in Spark, Python, or Java</span></li> <li>Fa