About the job
Collaboration Fuels Innovation.
Join Roku in Transforming Television
As the leading TV streaming platform in the U. S., Canada, and Mexico, Roku is dedicated to revolutionizing how viewers engage with content. Our vision is to empower every television globally by creating seamless connections between consumers, content providers, and advertisers. We provide unparalleled opportunities for both viewers and creators, fostering a thriving TV ecosystem.
At Roku, your contributions matter from day one. As a part of our dynamic and rapidly growing public company, you'll have the chance to delight millions of users worldwide while gaining invaluable experience across diverse areas.
About Our Team
Our Ad Engineering Team is responsible for developing a highly scalable and reliable real-time advertising platform to support Roku's expanding advertising business. We are searching for a Senior Machine Learning Engineer to play a key role in this exciting mission. If you possess extensive experience in building intricate systems with Machine Learning and Data Science, thrive in a fast-paced environment, and enjoy mentoring others, this position is tailor-made for you!
Based in our Bengaluru office, the Ad Serving team ensures that advertisements on the Roku platform are relevant and high-quality, enhancing outcomes for advertisers and providing an excellent experience for viewers. With millions of ad requests daily, we are committed to leveraging cutting-edge ML-driven systems to optimize ad delivery across various regions and languages.
Your Role
In this role, you will design and develop Machine Learning models that enhance our understanding of advertisement content. These models will analyze visual, audio, and text elements of ads in multiple languages. You will be involved in creating computer vision and machine learning methodologies, including deep learning models, generative AI solutions, large language models (LLMs), and vision-language models (VLMs). Collaborating with software engineers and other ML engineers, you will identify, build, train, and deploy these models to improve brand safety and maximize revenue opportunities.
