Software Engineering Manager, AI/ML

vor 1 Tag

Zürich, Zürich, Schweiz Google Vollzeit
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • Experience with Machine Learning and Artificial Intelligence.
Preferred qualifications:
  • Experience in Generative AI.
  • Experience programming in Python.
  • Experience with Computer Vision development.


About the job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

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
  • Lead the direction and operational execution of Road and Lane Attribute Automation. Manage a team of engineers.
  • Drive the incubation and productionization of computer vision and AI research at scale, in close collaboration with partner teams, into production.
  • Leverage computer vision or machine learning skills to provide technical leadership and mentorship to engineers and research engineers.
  • Advocate a culture of high-quality product delivery, data-driven decision-making, and bold innovation to manage problems that others deem insurmountable.
  • Work with the team on short and medium term deliverables across Geo Auto, Geo Developer, Geo Consumer, and Cloud. Prioritize continuous learning, contribute to sustainable solutions, and enhance the Google Maps product. While leadership is valued, the focus is on technical growth and impactful contributions.

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