AI/ML Software Engineer for Geospatial Maps

Google Inc.; Mountain View (CA); On-site; USD 147,000 - 211,000; Full time

Job summary

Google Mountain View seeks a Software Engineer III, AI/ML focused on Foundational Lanes. You will work on data quality for road and lane attributes and on geometries used to render roads with richer lane details in maps, using AI/ML techniques and geometric algorithms for 2D and 3D.

The Geo team builds maps for Maps, Earth, Street View, and more; you will contribute to scalable systems, model deployment, evaluation, and optimization, with opportunities to switch teams as projects evolve.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience programming in Java, Python or C++.
• 1 year of experience with end-to-end ML (deployment, evaluation, data processing, debugging).
• 1 year of experience with one or more of the following: computer vision, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 2 years of experience with data structures and algorithms.
• Experience in computational geometry.

Responsibilities

• Write product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices and to maintain quality.
• Contribute to existing documentation or educational content and adapt content based on product updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and their impact on hardware, network, or service operations and quality.
• Implement solutions in specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Skills

Java

Python

C++

End-to-end ML

Computer vision

Reinforcement learning

ML infrastructure

Data structures and algorithms

Computational geometry

Education

Bachelor's degree

Master's degree or PhD in CS

Job description

Google Mountain View seeks a Software Engineer III, AI/ML focused on Foundational Lanes. You will work on data quality for road and lane attributes and on geometries used to render roads with richer lane details in maps, using AI/ML techniques and geometric algorithms for 2D and 3D.

The Geo team builds maps for Maps, Earth, Street View, and more; you will contribute to scalable systems, model deployment, evaluation, and optimization, with opportunities to switch teams as projects evolve.