Python Job: Software Engineer, 3D Computer Vision

About the job

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.

In this role, you will work on a team composed of Research Scientists and Software Engineer experts in computer vision, as part of a project focused on localization, 3D reconstruction, and scene/object understanding. You will work on improving the quality of our computer vision systems and landing them in production.

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

• Develop innovative computer vision and machine learning technology for applications in the field of automated map-making and localization.
• Drive the technology development process from the initial idea to product launch.
• Identify quality issues through data analysis, and address them by fixing issues or developing alternative solutions based on algorithms or machine learning models.
• Integrate solutions into our production systems, taking into account trade-offs between quality, latency, and resource usage.
• Identify and demonstrate capabilities that can be provided through our systems.