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 A highly scalable highly available real-time advertising platform is critical to support and grow Roku s rapidly expanding ad business It is the mission of the Ad Engineering Team to build this platform We are hiring a Senior Machine Learning Engineer Advertising Platform to be a vital part of this mission If you bring extensive experience building complex systems using Machine Learning and Data Science love great technology at scale enjoy mentoring jumping in and figuring things out in any system this role is for you The Ad Serving team based in Bangalore is responsible for ensuring that ads on the Roku platform are relevant and of good quality leading to better outcomes for advertisers and providing a great experience for our viewers Dealing with millions of ad requests in a day we need to have best in class ML driven systems to improve the way we serve ads in multiple countries and languages About the role In this role you will build and develop ML models to solve for content understanding aspects of Ads These models rely on the visual audio and textual content of ads across multiple languages This includes developing computer vision and machine learning models methods such as deep learning models generative AI solutions large language models LLMs and vision language models VLMs You will work with software engineers and other ML engineers to identify build train and productionize these models to improve brand safety increase revenue opportunities and help with moderation and generation of ad creatives in general What you will be doing Develop scalable and effective machine-learning models and optimization strategies to solve business problems related to Ads Run regular A B experiments gather data and perform statistical analysis Work closely with software engineers and other ML engineers to deliver end-to-end solutions into production Improve the scalability efficiency and automation of ML driven ad serving systems model training deployment and serving Partner with senior stakeholders to plan and drive the ML strategy for Ad Serving We re excited if you have 10 years of building models for business application experience Master s degree or higher and 4 years of CS CE ML or related field experience Strong CS fundamentals Should be able to write an algorithm with ease Experience developing and implementing deep learning algorithms particularly with respect to computer vision algorithms Good understanding of data science and machine learning fundamentals like regression classification tree-based approach neural networks sequence-based and NLP approaches like W2V or Bert Can brainstorm and identify the right KPIs and objective functions Knowledge of programming languages such as C C Python Java or Perl preferred Have publications at top-tier peer-reviewed conferences or journals preferred AI growth mindset AI Literacy Accommodations 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 Our Hybrid Work Approach Roku fosters an inclusive and collaborative workplace 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 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 Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs It s key 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 The Roku Culture 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 outstanding 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 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 By providing your information you acknowledge that you want Roku to contact you about job roles that you have read Roku s Applicant Privacy Notice 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 here at any time