Software Engineer, Machine Learning

Overview 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 Roku pioneered in developing operating system for TVs. TV Technology team within Roku TV NPI group is focused on building TVs with best Audio Quality, Picture Quality and Enable innovation technology. With tens of millions of TVs sold across many countries, thousands of streaming channels and billions of hours watched over the Roku TVs, having best Audio Quality & Picture Quality is crucial. About the role We are looking for a creative and passionate Machine Learning (ML) / Deep Learning (DL) Engineer to join the Roku TV team. You will explore Picture Quality (PQ) and Audio Quality (AQ) improvements using AI in a resource-constrained environment, pushing the limits of what is possible in TV technology. Additionally, this role will involve applying state-of-the-art ML techniques to different PQ and AQ related tasks. You will play a critical role in building scalable systems and algorithms that enhance streaming experiences for millions of users worldwide. For California Only - The estimated annual salary for this position is between $135,000 - $185,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. What you’ll be doing Explore and implement AI-driven Picture Quality and Audio Quality improvements for Roku TV Apply advanced ML techniques in the optimization of models to enhance video and audio processing pipelines Research, understand, and implement technical papers on ML/DL to solve complex challenges Collaborate with engineering teams and cross-functional partners to translate business requirements into technical solutions Run experiments and analyze results against critical business KPIs We’re Excited If You Have 1+ years of experience applying Machine Learning to concrete problems at scale Strong CS fundamentals; ability to write efficient algorithms with ease Hands-on experience with Machine Learning / Deep Learning frameworks like TensorFlow or PyTorch Proficiency in coding firmware development using C++ Proficiency in coding ML/DL algorithms using Python Solid understanding of DL fundamentals, including RNN, CNN, and multi-modal models Familiarity with video processing pipelines and audio pipelines AI literacy and curiosity—whether through previous work or personal exploration Excellent communication skills, strong work ethic, and works with minimum supervision Have hands-on experience with edge devices like jetson nano, kadas, and similar Research background preferred; ability to understand and implement technical papers on ML/DL Published papers in the field of ML/DL are a bonus Hold an MS or PhD in Computer Science, Electrical Engineering, or related fields - Preferred Our Hybrid Work Approach 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. 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 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. 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 View email address on click.appcast.io. 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 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. 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 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 at any time by emailing View email address on click.appcast.io. #J-18808-Ljbffr