Research Engineer, Geo Map The World, SOLA

vor 2 Wochen

Zürich, Zürich, Schweiz Google Vollzeit
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 2 years of experience in Software Engineering, C++ or Python.
  • Experience in machine learning and computer vision.
  • Experience with JAX-RS.
Preferred qualifications:
  • Experience with Multimodal Machine Learning.
  • Experience with Low-Level Virtual Machine (LLVM).
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 manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

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:
  • Collaborate with researchers and other engineers to implement and scale computer vision and AI research.
  • Define clear hypotheses, design and execute experiments with measurable metrics, analyze results, and propose data-driven next steps.
  • Contribute to a culture of high-quality product delivery and data-driven decision-making. Write clean, maintainable, and well-tested code for technical problems.
  • Manage individual project priorities and deliverables while contributing to the team's collective goals and learning.
  • Design, develop, test, deploy, and maintain software and models as part of the SOLA team's mission, utilizing skills in Machine Learning, Computer Vision, Python, C++, and JAX-RS.

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