Engineering Manager, Computer Vision

vor 2 Wochen


Zürich, Zürich, Schweiz Meta Vollzeit

Engineering Manager, Computer Vision - Zurich Responsibilities:

  • Leading an organization comprised of applied scientists and engineers from prototyping across development and integration of advanced systems relying heavily on Computer Vision and Machine Learning technologies.
  • Owning the development of system requirements, and collaborating with respective teams to mature and integrate technologies necessary to create product architectures that can deliver these requirements.
  • Champion engineering and operational excellence, establishing metrics and processes for regular assessment and improvement.
  • Recruit worldclass talent and provide technical leadership and guidance to both your team members and your project peers.
  • Set clear expectations and create a positive work environment based on accountability, in collaboration with the engineering and management teams.
  • Coordinating with research, user research, art, partnership and legal to both define and execute technology development with key partners & suppliers.
  • Operate strategically and tactically. Working closely with various organizations to define and execute the longterm strategies and roadmaps and help set direction while staying on top of the day to day software development.
  • Provide technical leadership and guidance to both your team members and your project peers.

Minimum Qualifications:

  • BS degree in Engineering, Physics, Computer Science or equivalent experience.
  • Experience of people management in multidisciplinary global teams at the intersection of tech and product, including building performing teams and organization.
  • Experience supporting an engineering and research organization through technical leadership.
  • Demonstrated experience in recruiting and managing technical teams, including performance management.
  • Experience in managing teams productizing Computer Vision or AI/Machine Learning technologies from conception to end.
  • Leadership and interpersonal communication experience in working across many disciplines, driving best practices, and mentoring team members.
  • Technical experience in leading teams/projects in one or more of the technical domains of machine perception (i.e., machine vision, deep learning, sensors and robotics).

Preferred Qualifications:

  • Ms or PhD in a related field of Computer Vision, or AI/Machine Learning in domains related to SLAM/Position Tracking, 3D reconstruction, depth sensing, bayesian filtering, information theory, or 3D geometry.
  • Experience managing joint hardwaresoftware development and associated rapid prototyping projects.
  • Experience in leading teams interfacing with HW (sensors, silicon) teams in setting requirements and product tradeoffs.
  • Flexibility and resilience in a dynamic environment.

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.

Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.


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