Research Engineer, SOLA, Geo Map The World

vor 20 Stunden

Zurich, Schweiz Google Vollzeit

Minimum qualifications:Bachelor's degree or equivalent practical experience.2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.Experience in computer vision and machine learning.Experience in Software Engineering, C++ or Python.Preferred qualifications:2 years of experience with data structures or algorithms.Experience with Generative AI, Multimodal Machine Learning.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.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, develop, test, deploy, and maintain Machine Learning Operations (MLOps) pipelines and models that are integral to the SOLA team's mission.Collaborate closely with researchers and other engineers to transition computer vision and large language model (LLM) research into scalable, production-ready systems.Contribute to a culture of operational excellence, focusing on the reliability and scalability of AI systems, and promoting data-driven decision-making throughout the model life-cycle.Write clean, maintainable, and well-tested code for technical problems, with an emphasis on model serving, monitoring, and infrastructure-as-code.Manage individual project priorities, focusing on modeling and research-to-production transitions, while contributing to the team's collective goals and continuous learning.

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