Overview: The Kids and Families team at Google is focused on bringing new, exciting services and experiences to minors and their families, while ensuring compliance with regulatory requirements worldwide. The Core team provides the foundational technology behind Google’s flagship products and supports scalable, secure systems. Role: As a Software Engineering Manager for Machine Learning, you will provide technical leadership across major ML initiatives, manage and mentor a team of engineers, and help shape product strategy. You will oversee the design and deployment of large-scale ML models, collaborate with cross-functional partners, and ensure that systems are reliable, scalable, and privacy-conscious. Responsibilities: - Work with Technical Leads to establish and drive a technical road map for your team, map business objectives to a cohesive team strategy, and lead the deployment of sophisticated ML models. - Foster a healthy, high-performing team culture; manage career growth, performance, and mentorship for engineers on your team. - Collaborate cross-functionally with peer teams across Search, YouTube, and Core. Partner with Data Science, Product, and Policy to define model behaviors that respect complex regulatory and privacy constraints. - Guide the team in designing and building scalable data pipelines and training infrastructure for large-scale datasets. Ensure long-term system reliability and robustness by integrating modern ML infrastructure and engineering best practices. - Align team priorities with broader organization goals and company-wide objectives. Identi

Overview: The Kids and Families team at Google is focused on bringing new, exciting services and experiences to minors and their families, while ensuring compliance with regulatory requirements worldwide. The Core team provides the foundational technology behind Google’s flagship products and supports scalable, secure systems. Role: As a Software Engineering Manager for Machine Learning, you will provide technical leadership across major ML initiatives, manage and mentor a team of engineers, and help shape product strategy. You will oversee the design and deployment of large-scale ML models, collaborate with cross-functional partners, and ensure that systems are reliable, scalable, and privacy-conscious. Responsibilities: - Work with Technical Leads to establish and drive a technical road map for your team, map business objectives to a cohesive team strategy, and lead the deployment of sophisticated ML models. - Foster a healthy, high-performing team culture; manage career growth, performance, and mentorship for engineers on your team. - Collaborate cross-functionally with peer teams across Search, YouTube, and Core. Partner with Data Science, Product, and Policy to define model behaviors that respect complex regulatory and privacy constraints. - Guide the team in designing and building scalable data pipelines and training infrastructure for large-scale datasets. Ensure long-term system reliability and robustness by integrating modern ML infrastructure and engineering best practices. - Align team priorities with broader organization goals and company-wide objectives. Identi