Google Inc.
Staff Software Engineer, AI/ML, Geo Perception Team
Google Inc., Mountain View, California, us, 94039
Staff Software Engineer, AI/ML, Geo Perception Team
Google place Mountain View, CA, USA Apply 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 with image processing and computer vision. Preferred qualifications:
Master’s degree or PhD in Engineering, Computer Science or a related technical field. 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. Multiple research publications in top CV/ML conferences (e.g., CVPR, ICCV, ECCV, NIPS and ICLR). Experience in modeling with TensorFlow, JAX, etc. Experience working in large-sized engineering and cross-functional teams as well as excellent communication skills. About the job
In this role, you will create new structured geospatial data to accelerate map making. You will work with many organizations including Geo’s Basemap, Consumer, Auto and Sustainability teams plus the Cloud and Research product areas to enable Google’s next wave of geospatial-powered applications and help us shape 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. Responsibilities
Design and build end-to-end solutions for automating map data creation using state-of-the-art ML technology. Engage with users and client teams across Geo and Google to understand current and future needs of geospatial data. Work with Google Research and other teams to integrate state-of-the-art ML and AI solutions into Geo products. Uphold a high standard for engineering excellence through good practices in code health, maintainability and testability. Keep up with industry trends, be a technical lead, establish technical roadmaps and guide junior team members. 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.
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Google place Mountain View, CA, USA Apply 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 with image processing and computer vision. Preferred qualifications:
Master’s degree or PhD in Engineering, Computer Science or a related technical field. 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. Multiple research publications in top CV/ML conferences (e.g., CVPR, ICCV, ECCV, NIPS and ICLR). Experience in modeling with TensorFlow, JAX, etc. Experience working in large-sized engineering and cross-functional teams as well as excellent communication skills. About the job
In this role, you will create new structured geospatial data to accelerate map making. You will work with many organizations including Geo’s Basemap, Consumer, Auto and Sustainability teams plus the Cloud and Research product areas to enable Google’s next wave of geospatial-powered applications and help us shape 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. Responsibilities
Design and build end-to-end solutions for automating map data creation using state-of-the-art ML technology. Engage with users and client teams across Geo and Google to understand current and future needs of geospatial data. Work with Google Research and other teams to integrate state-of-the-art ML and AI solutions into Geo products. Uphold a high standard for engineering excellence through good practices in code health, maintainability and testability. Keep up with industry trends, be a technical lead, establish technical roadmaps and guide junior team members. 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.
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