Minimum 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 (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
Preferred qualifications:- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with data structures and algorithms.
- Experience in computational geometry.
- Experience developing accessible technologies.
About the jobGeo is on a strategic multi-year initiative to drastically revamp the Driving Experience. The north star goal is for Google Maps to be the trusted copilot for drivers world wide, enabling stress-free, safe, and sustainable trips and help 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 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: $147000 - $211000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
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.
