The Staff Software Engineer role at YouTube focuses on improving machine learning efficiency and performance for YouTube's AI workloads. The position is part of the YouTube Discovery Efficiency team, which aims to enhance model architectures and streamline ML training processes. Engineers in this role will work on cutting-edge technologies and collaborate across teams to solve complex problems. The goal is to ensure that YouTube's infrastructure remains efficient and effective in handling large-scale recommendation systems.

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience leading ML design and optimizing ML infrastructure.
• 3 years of experience building large-scale recommendation systems, ML, ranking, or personalization.

• Monitor the evolving landscape of recommendation systems and prototype emerging modeling techniques.
• Enable next-generation model architectures and training procedures.
• Scale experimentation capacity under resource constraints.
• Reduce complexity and fragmentation in the ML training and serving ecosystem.
• Introduce automation frameworks for training, evaluation, and model serving.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.