Mountain View, California, United States (on-site). Google is seeking a Tech Lead for YouTube Shorts Discovery focusing on ML-powered recommendations. In this role you will lead the Short-form Video Exploration team and drive the success of YouTube Shorts, overseeing the ecosystem from mobile tooling to the full-screen player experience and building backend systems to create, serve, and recommend videos across Home, Search and more. Short-form Video Exploration is a core component of our recommendation strategy, aiming to identify initial audiences for new content and expand our recommendation corpus using advanced modeling and signals. Responsibilities include designing, developing, testing, deploying, maintaining, and enhancing large-scale software solutions; providing technical leadership on high-impact projects; managing priorities, deadlines, and deliverables; facilitating alignment across teams on goals, outcomes, and timelines; mentoring and coaching a distributed team of engineers; leading ML-focused design and implementation, optimizing ML infrastructure, and guiding data processing and model optimization. Qualifications: Minimum: Bachelor's degree or equivalent practical experience; 8 years of software development; 5 years testing and launching software products, plus 3 years in software design and architecture; 5 years experience with ML areas such as speech/audio tech, reinforcement learning, ML infrastructure, or related fields; 5 years experience with ML design and ML infrastructure including model deployment, evaluation, data processing, debugging, and fine-t

Mountain View, California, United States (on-site). Google is seeking a Tech Lead for YouTube Shorts Discovery focusing on ML-powered recommendations. In this role you will lead the Short-form Video Exploration team and drive the success of YouTube Shorts, overseeing the ecosystem from mobile tooling to the full-screen player experience and building backend systems to create, serve, and recommend videos across Home, Search and more. Short-form Video Exploration is a core component of our recommendation strategy, aiming to identify initial audiences for new content and expand our recommendation corpus using advanced modeling and signals. Responsibilities include designing, developing, testing, deploying, maintaining, and enhancing large-scale software solutions; providing technical leadership on high-impact projects; managing priorities, deadlines, and deliverables; facilitating alignment across teams on goals, outcomes, and timelines; mentoring and coaching a distributed team of engineers; leading ML-focused design and implementation, optimizing ML infrastructure, and guiding data processing and model optimization. Qualifications: Minimum: Bachelor's degree or equivalent practical experience; 8 years of software development; 5 years testing and launching software products, plus 3 years in software design and architecture; 5 years experience with ML areas such as speech/audio tech, reinforcement learning, ML infrastructure, or related fields; 5 years experience with ML design and ML infrastructure including model deployment, evaluation, data processing, debugging, and fine-t