The Machine Learning Staff Software Engineer for Search Personalization at Google will focus on developing personalized user models to enhance user experience across Google Search. This role is part of the Discover Personalization team, which aims to connect users with relevant information by leveraging advanced machine learning techniques. The engineer will tackle complex challenges in machine learning and quality, contributing to the optimization of retrieval and ranking systems. This position requires a blend of technical expertise and leadership to drive projects from design to implementation.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience building and deploying recommendation systems models in production.
• 5 years of experience with ML design and ML infrastructure.
• 5 years of experience testing and launching software products.

• Design and implement personalized user models to optimize for user happiness.
• Build user and content clustering models to enable core personalization and ranking use cases.
• Enhance model performance and personalization precision through advanced modeling techniques.
• Scale the model's applications to various modalities and use cases.
• Create next-generation real-time ML models that capture new user interests and trends.

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