Senior ML Engineering Manager, Maps – Lead Geospatial AI

Google; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google’s Geo team is building the most accurate, comprehensive maps for billions of users worldwide. As a Software Engineering Manager, you will lead engineers across multiple teams, guide ML and CV initiatives, and influence product strategy while helping teams optimize their code and delivery.

You will oversee projects at scale, collaborating with stakeholders, architects, and product teams to ensure reliability, performance, and impact on real‑world navigation and safety systems.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++, Java, Python, Kotlin or Go.
• 5 years of experience in a people management or technical leadership role.
• Experience building and deploying Machine Learning models.
• Experience with Generative AI.

Responsibilities

• Lead a team of software engineers designing and deploying machine learning models to extract map features and attributes.
• Set the strategic direction for the group, defining a multi-year technical outlook and aligning stakeholder goals.
• Partner with senior architects to ensure ambiguous systems are driven toward solutions that scale and maintain high reliability.
• Provide technical leadership, mentorship, and performance coaching to technical leads and engineers on the team.
• Review systems designs and product development code to solve complex problems and ensure engineering best practices.

Skills

Multilingual programming

People leadership

ML model deployment

Generative AI

Education

Bachelor's degree or equivalent

Master's or PhD in CS

Tools

TensorFlow

PyTorch

Distributed data processing

Job description

Google’s Geo team is building the most accurate, comprehensive maps for billions of users worldwide. As a Software Engineering Manager, you will lead engineers across multiple teams, guide ML and CV initiatives, and influence product strategy while helping teams optimize their code and delivery.

You will oversee projects at scale, collaborating with stakeholders, architects, and product teams to ensure reliability, performance, and impact on real‑world navigation and safety systems.