Job description

This Maps team is in charge of building Google's foundational Semantic Location engine, which infers where people go and how they move about in the real world. Our model powers many impactful Google products, including Busyness, Transit Crowdedness, Maps Timeline, Commute Notifications, User Generated Content (UGC) for Maps, and Ads measurement. The team is a machine-learning-heavy team whose mission is to improve the quality of the model and the products it powers through better signal acquisition, feature engineering, model architecture, data cleaning, and ground truth data. Our model runs on 100s of millions of Android and iOS devices and is built by large-scale, parallel training pipelines on Google servers. As the Engineering Manager for the team, you will lead a team of software and machine learning engineers in their development of Google's foundational Semantic Location engine. You will coach, mentor, and grow the engineers on the team, aligning their work with their individual career goals, helping them solve high-impact technical problems, and maintaining a high level of motivation and job satisfaction. You will own the team's multi-quarter strategy, develop our roadmap, and oversee its execution. You will work with the team's tech lead to advance our ML models and infrastructure while balancing short-term impact, long-term technical bets, and system stability. You will also collaborate with our key clients across Maps, Ads, Android, and other product areas to align on joint priorities, identify opportunities for impact, and unlock new use cases for Semantic Location across Google. The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives. The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google . • Manage, coach, and develop a team of engineers, setting clear expectations, fostering a collaborative and fast-moving engineering culture, and aligning project ownership with individual career growth. • Design the long-term technical vision of the team, develop a roadmap to get us there, and drive execution to deliver measurable impact. • Collaborate with client teams and other partners on joint goals and requirements, integrate those into our roadmap, and clearly communicate our progress. • Provide technical guidance and leverage your experience and intuition to ensure our model and systems are high-quality, resource-efficient, reliable, and maintainable. • Bachelor's degree or equivalent practical experience. • 8 years of software development experience in one or more programming languages. • 2 years of experience in a people management or team leadership role. Minimum qualifications: • Bachelor's degree or equivalent practical experience. • 8 years of software development experience in one or more programming languages. • 2 years of experience in a people management or team leadership role. Preferred qualifications: • PhD in Computer Science, Statistics, or related fields. • Experience in successfully applying GenAI and machine learning approaches to real-world problems. • Strong mathematical skills with knowledge of statistical methods.

Requirements

Must-haves

As the Engineering Manager for the team, you will lead a team of software and machine learning engineers in their development of Google's foundational Semantic Location engine.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
Manage, coach, and develop a team of engineers, setting clear expectations, fostering a collaborative and fast-moving engineering culture, and aligning project ownership with individual career growth.
Design the long-term technical vision of the team, develop a roadmap to get us there, and drive execution to deliver measurable impact.
Collaborate with client teams and other partners on joint goals and requirements, integrate those into our roadmap, and clearly communicate our progress.
Provide technical guidance and leverage your experience and intuition to ensure our model and systems are high-quality, resource-efficient, reliable, and maintainable.
Bachelor's degree or equivalent practical experience.
8 years of software development experience in one or more programming languages.
2 years of experience in a people management or team leadership role.
Bachelor's degree or equivalent practical experience.
8 years of software development experience in one or more programming languages.
2 years of experience in a people management or team leadership role.

Nice-to-haves

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
PhD in Computer Science, Statistics, or related fields.
Experience in successfully applying GenAI and machine learning approaches to real-world problems.
Strong mathematical skills with knowledge of statistical methods.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

gomachine learningml

Platform: google
Effort: medium

Benefits

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