ML Engineering Manager, Road and Lane Attribute Automation

vor 1 Woche

Zürich, Zürich, Schweiz SIGMA7 GmbH Vollzeit CHF 180'000 - CHF 250'000 pro Jahr
Minimum qualifications:
  • Bachelor's degree, or equivalent practical experience.
  • 8 years of experience in software development.
  • 3 years of experience in a technical leadership role.
  • 2 years of experience in a people management or team leadership role.
  • Experience in machine learning and artificial intelligence.
Preferred qualifications:
  • Master's degree or PhD in Computer Science or related technical field.
  • 3 years of experience working in a cross-functional organization.
  • Experience programming in Python.
  • Experience in Generative AI.
  • Experience in computer vision.
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 strategic direction and operational execution of the Road and Lane Attribute Automation team.
  • 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 ML expertise to provide technical leadership and mentorship to engineers and research engineers. Build a culture of high-quality product delivery, data-driven decision-making, and bold innovation to solve problems that others deem difficult.
  • Manage a team of engineers, hire for open headcount, and 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. Focus on technical growth and impactful contributions.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form

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