AI/ML Software Engineer III — Geospatial ML

Google; Jasper (AL); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

15% Bonus Target

Equity

Benefits

Job summary

Google is seeking a Software Engineer III, AI/ML, Foundational Lanes in Mountain View to help advance road and lane data quality for Google Maps. You will work on data extraction from sensor and imagery sources, and leverage AI/ML and geometric algorithms to build robust road geometries in 2D and 3D.

The role involves collaboration across teams and continuous learning to push map technology forward. Ideal candidates are mid-level with strong ML, CV, and software engineering fundamentals, and a

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 machine learning (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 1 year of experience with one or more of the following: computer vision, reinforcement learning, ML infrastructure, or specialization in another ML field.

Responsibilities

• Write product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Skills

Java

Python

C++

End-to-end ML

Education

Bachelor's degree

Job description

Google is seeking a Software Engineer III, AI/ML, Foundational Lanes in Mountain View to help advance road and lane data quality for Google Maps. You will work on data extraction from sensor and imagery sources, and leverage AI/ML and geometric algorithms to build robust road geometries in 2D and 3D.

The role involves collaboration across teams and continuous learning to push map technology forward. Ideal candidates are mid-level with strong ML, CV, and software engineering fundamentals, and a