Wait, What Do You Do?

<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 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="{}"> </span></h3> <p><span data-contrast="auto">In this role you will apply various 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. You will also work on building out a SOTA machine learning platform. </span><span data-ccp-props="{}"> </span></p> <p><span data-contrast="auto">We’re looking for strong engineers well versed with modern large scale machine learning platforms with a solid grasp of core statistical techniques and deep experience in SOTA Deep Learning discriminative and generative models.</span></p> <p><span data-contrast="auto"><span class="TextRun SCXW35273003 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW35273003 BCX0">For California Only - The estimated annual salary for this position is between $148,750 - $361,000 annually.</span></span> <span class="TextRun SCXW35273003 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW35273003 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 SCXW35273003 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW35273003 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></p> <p> </p> <h3><span data-contrast="auto">What you’ll be doing </span></h3> <ul> <li><span data-contrast="auto">Building SOTA Deep learning discriminative models and build generative models to generate image and video ads geared towards optimizing performance</span></li> <li><span data-contrast="auto">Building and evolving a SOTA Machine Learning Platform from feature generation to realtime inferencing that can optimize and deploy complex models at large scale and low latencies</span></li> <li><span data-contrast="auto">Be forward thinking about advancements in ML related areas</span></li> </ul> <p> </p> <h3><span data-contrast="auto">We’re excited if you have </span> </h3> <ul> <li><span data-contrast="auto">BS or higher in CS, ECE or a related field </span><span data-ccp-props="{}"> </span></li> <li><span data-contrast="auto">5+ years of experience in building out Machine Learning platforms or applying Deep Learning  methodologies</span></li> <li><span data-contrast="auto">Ability to communicate and collaborate cross functionally  </span><span data-ccp-props="{}"> </span></li> </ul> <p><span data-contrast="auto">Preferred Qualifications: </span><span data-ccp-props="{}"> </span></p> <ul> <li><span data-contrast="auto">MS or higher CS, ECE or a related field</span></li> <li><span data-contrast="auto">Experience in the Advertising domain</span></li> <li><span data-contrast="auto">Contributions to open-source ML projects</span><span data-ccp-props="{}"> </span></li> </ul> <h6><span data-ccp-props="{}">#LI-DH2</span></h6><div class="content-conclusion"><p> </p> <h3 style="font-family: GothamBold,Helvetica,Arial,sans-serif;"><strong>Our Hybrid Work Approach</strong></h3> <p>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.</p> <p> </p> <h3 style="font-family: GothamBold,Helvetica,Arial,sans-serif;"><strong>Benefits</strong></h3> <p>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. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.</p> <p> </p> <h3 style="font-family: GothamBold,Helvetica,Arial,sans-serif;"><strong>Accommodations</strong></h3> <p>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 <a href="mailto:employeerelations@roku.com?subject=Job%20Application%20Accommodations">EmployeeRelations@Roku.com</a>.</p> <p> </p> <h3 style="font-family: GothamBold,Helvetica,Arial,sans-serif;"><strong>The Roku Culture</strong></h3> <p>Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. </p> <p>We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. </p> <p>To learn more about Roku, our global footprint, and how we've grown, visit <a href="https://www.weareroku.com/factsheet">https://www.weareroku.com/factsheet</a>.</p> <p>By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's <a href="https://www.weareroku.com/roku-job-applicant-privacy-notice-for-job-applicants">Applicant Privacy Notice</a>, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing <a href="mailto:workforceprivacy@roku.com?subject=Unsubscribe%20Request%20" target="_blank">WorkforcePrivacy@Roku.com</a>.</p></div>

Senior Machine Learning Engineer