About the job

Google's Geo team is embarking on a multi-year journey into the future and needs ML/AI engineers to help us navigate to that tomorrow.

As a Staff Software Engineer, you will help design and build products using sensor data (e.g., imagery, vehicle telemetry, location data, authoritative data, etc.), large ML models and more to create new structured geospatial data and transformative user experiences. You will work across organizations including Geo's Basemap, Infrastructure, Consumer and Automotive teams along with Cloud and Research product areas to enable Google's future map making technologies. You will step into a technical leadership role, working with junior engineers and generalist colleagues to deliver these products.

Come help us build the future of maps.

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.

The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Lead the design, development, and deployment of machine learning models to detect road disruptions and maintain road signs from various signals (e.g., traffic data, vehicle telemetry, vehicle sensors, imagery etc.).

• Develop and improve ML algorithms for inferring road closures and speed limits, fusing data from multiple sensors and sources like vehicle sensor observations (VSO), location data, Waze, and third-party data.

• Build and maintain scalable data pipelines for training, evaluation, and inference using Google's infrastructure.

• Collaborate closely with other engineers, product managers, data analysts, and operations teams to define requirements, integrate ML solutions, and drive impact on map data quality.

• Provide technical leadership and mentorship to junior engineers on the team.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 8 years of experience in software development.

• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

• Experience with common machine learning techniques and technologies.

• Experience building or interacting with Generative AI or Applied AI applications.

Preferred qualifications

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

• One or more research publications in CV/ML conferences (e.g., CVPR, ICCV, ECCV, NIPS, or ICLR).

• 5 years 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.

• Experience working in large-sized engineering and cross-functional teams.

• Expertise in modeling with Tensor Flow, JAX, etc.

• Excellent people management and communication skills.