Google Inc.
Staff Software Engineer, Google Maps, Machine Learning
Google Inc., Mountain View, California, us, 94039
Staff Software Engineer, Google Maps, Machine Learning
Google Mountain View, CA, USA Overview
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're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. This role focuses on applying cutting-edge GenAI and ML solutions alongside classical geometric algorithms to power Google Maps next-generation navigation experiences. You will have technical expertise in applied ML and computational geometry, thrive in a fluid environment, and be excited about implementing practical, scalable solutions for users of Google Maps worldwide. 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. They are solving complex computer science problems, designing intuitive product experiences, and improving our understanding of the real world to plot a course for the future of mapping. The US base salary range for this full-time position is $197,000-$291,000 + 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
Take end-to-end ownership of converting complex imagery, location, and sensor data into precise geometries to power next generation navigation products. Understand failure modes across a broad spectrum of root causes, identify and solve data quality shortcomings, debug and optimize the entire data-to-model-to-rendering pipeline, develop evaluation tools and geometric metrics to assess visual quality at scale, and solve infrastructure and performance bottlenecks to enable a consistent and fresh visual map. Own the development of geometric and geospatial algorithms to improve polygonization for road shapes and lane details, spanning both 2D and 3D maps to ensure a cohesive experience. Translate ambiguous data challenges into clear algorithmic, ML, and generative AI formulations, collaborating with product, UX, and engineering partners to define the optimal visual experience and iterate towards a scalable, launchable solution. 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/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, 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. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
#J-18808-Ljbffr
Google Mountain View, CA, USA Overview
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're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. This role focuses on applying cutting-edge GenAI and ML solutions alongside classical geometric algorithms to power Google Maps next-generation navigation experiences. You will have technical expertise in applied ML and computational geometry, thrive in a fluid environment, and be excited about implementing practical, scalable solutions for users of Google Maps worldwide. 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. They are solving complex computer science problems, designing intuitive product experiences, and improving our understanding of the real world to plot a course for the future of mapping. The US base salary range for this full-time position is $197,000-$291,000 + 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
Take end-to-end ownership of converting complex imagery, location, and sensor data into precise geometries to power next generation navigation products. Understand failure modes across a broad spectrum of root causes, identify and solve data quality shortcomings, debug and optimize the entire data-to-model-to-rendering pipeline, develop evaluation tools and geometric metrics to assess visual quality at scale, and solve infrastructure and performance bottlenecks to enable a consistent and fresh visual map. Own the development of geometric and geospatial algorithms to improve polygonization for road shapes and lane details, spanning both 2D and 3D maps to ensure a cohesive experience. Translate ambiguous data challenges into clear algorithmic, ML, and generative AI formulations, collaborating with product, UX, and engineering partners to define the optimal visual experience and iterate towards a scalable, launchable solution. 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/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, 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. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
#J-18808-Ljbffr