Hiring: Senior Machine Learning Scientist, Conversion Modeling Company: Roku Location: Austin, TX Job Posted Time: 2026-09-13 10:38:40 Employment Type: Remote Target Skills & Keywords : Deep Learning, Machine Learning, Reinforcement Learning About the job Experience: •8+ years of experience in applied research using statistical and deep learning techniques Required Skills: •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. •Building generative models to generate image and video ads geared towards optimizing performance •Stay at the forefront of advancements in related areas •We’re excited if you have •PhD in a quantitative discipline such as CS, Statistics, Applied Math or a related field •8+ years of experience in applied research using statistical and deep learning techniques •Published paper(s) on deep learning models for Advertising or related areas •Excellent communication and collaboration skills Qualifications: •Contributions to open-source ML projects •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 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 EmployeeRelations@Roku.com. •What should I know about Roku's culture? •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. •To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet. Compensation: •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!