Software Engineer III, AI​/ML, Foundational Lanes

Software Engineer III, AI/ML, Foundational Lanes

Google Mountain View, CA, USA

• 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 (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.

• Master's degree or PhD in Computer Science or related technical fields.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale and extend well beyond web search. We are looking for engineers who bring fresh ideas from all areas including information retrieval, distributed computing, large‑scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile.

As a software engineer, you will work on a critical project with opportunities to switch teams and projects as you grow.

Geo is on a strategic multi‑year initiative to drastically revamp the Driving Experience. The goal is for Google Maps to be the trusted copilot for drivers worldwide, enabling stress‑free, safe, and sustainable trips and helping users navigate with confidence.

Our team is responsible for the data quality of road and lane data attributes and the construction of geometries used to render roads with richer lane details on the map. We achieve this through automation: leveraging AI/ML techniques to extract road and lane data from Geo’s extensive corpus of sensor, imagery, and location data, and through geometric algorithms (including GenAI) to construct consistent and smooth road and lane shapes in both 2D and 3D.

The Geo team focuses 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.

Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

US: $147,000 - $211,000 (USD) + 15% bonus target + equity + benefits.

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other basis protected by law.

See also Google's EEO policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.