<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="{"134245418":true,"134245529":true}"> </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 across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. 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.</span></p> <p> </p> <h3><span data-contrast="auto">About the role</span><span data-ccp-props="{"134245418":true,"134245529":true}"> </span></h3> <p><span data-contrast="auto">In this role you will work on applying SOTA research and conduct your own research to develop novel methodologies to solve a large variety of challenging problems in Advertising related to conversion modeling aligned with attribution methodologies/models, calibration, dynamic creative generation and optimization, forecasting and timeseries modeling, yield and margin optimization and Experimentation for A/B and multivariate testing.</span><span data-ccp-props="{}"> </span></p> <p><span data-contrast="auto">We’re looking for a strong technical leader with a solid grasp of core statistical techniques and deep experience in SOTA Deep Learning discriminative and generative models.</span></p> <p><span class="TextRun SCXW197811959 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW197811959 BCX0">For California Only - The estimated annual salary for this position is between $148,750 - $361,000 annually.</span></span> <span class="TextRun SCXW197811959 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW197811959 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 SCXW197811959 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW197811959 BCX0">This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.</span></span></p> <p> </p> <h3><span data-contrast="auto">What you’ll be doing</span></h3> <ul> <li>Building generative models to generate image and video ads geared towards optimizing performance</li> <li>Stay at the forefront of advancements in related areas</li> </ul> <p> </p> <h3><span data-contrast="auto">We’re excited if you have</span></h3> <ul> <li><span data-contrast="auto">PhD in a quantitative discipline such as CS, Statistics, Applied Math or a related field</span></li> <li>8+ years of experience in applied research using statistical and deep learning techniques</li> <li>Published paper(s) on deep learning models for Advertising or related areas</li> <li>Excellent communication and collaboration skills</li> </ul> <p><strong><span data-contrast="auto">Preferred Qualifications</span></strong></p> <ul> <li><span data-contrast="auto">Experience in the Advertising domain</span></li> <li>Contributions to open-source ML projects<span data-ccp-props="{}"> </span></li> </ul> <h6><span data-ccp-props="{}">#LI-DH2</span></h6><div class="content-conclusion"><h3><strong><span style="font-family: GothamBold, Helvetica, Arial, sans-serif;">What's Roku's approach to hybrid working?</span></strong></h3> <p>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.</p> <p> </p> <h3 style="font-family: GothamB