Senior Staff Engineer, YouTube Shorts Ranking, Core Modeling

Job description

Bring ideas to optimize shorts feed for better user experiences, new use cases, and overall product quality. Build large-scale machine learning models, training infrastructure and quality evaluation, design ML architecture. Work with data scientists, product managers, front-end engineers, user experience designers to improve product quality. Minimum Qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 7 years of experience leading technical project strategy, ML design, and working with industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience with design and architecture; and testing/launching software products. 5 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, embedding) in production. Experience building architecture in different modeling domains. Preferred Qualifications: Master’s degree or PhD in Computer Science, Machine Learning, Computer Engineering, or a related highly technical field. 8 years of experience with data structures and algorithms. 5 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.