Engineering Manager, Xr People Body
Vor 4 Tagen
**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 world-class 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 long-term strategies and roadmaps and help set direction while staying on top of the day to day software development.
**Minimum Qualifications**:
- BS degree in Computer Science or a relevant technical field.
- Experience of building and managing high-performance teams in multi-disciplinary global organizations at the intersection of tech and product.
- Experience supporting an engineering and research organization through technical leadership.
- Demonstrated experience in recruiting and managing technical teams comprised of Computer Vision and Machine Learning scientists and engineers.
- Experience in managing teams productizing Computer Vision and Machine Learning technologies from conception to end.
- Technical experience in leading teams and projects in one or more of the technical domains of machine perception (i.e., machine vision, deep learning, sensors and robotics).
- Leadership and interpersonal communication experience in working across many disciplines, drive best practices, and mentor team members.
- Experience managing joint hardware-software development and associated rapid prototyping projects.
- Able to thrive in a dynamic environment where goals and requirements may be changing.
**Preferred Qualifications**:
- BS degree in Computer Science or a relevant technical field.
- Experience of building and managing high-performance teams in multi-disciplinary global organizations at the intersection of tech and product.
- Experience supporting an engineering and research organization through technical leadership.
- Demonstrated experience in recruiting and managing technical teams comprised of Computer Vision and Machine Learning scientists and engineers.
- Experience in managing teams productizing Computer Vision and Machine Learning technologies from conception to end.
- Technical experience in leading teams and projects in one or more of the technical domains of machine perception (i.e., machine vision, deep learning, sensors and robotics).
- Leadership and interpersonal communication experience in working across many disciplines, drive best practices, and mentor team members.
- Experience managing joint hardware-software development and associated rapid prototyping projects.
- Able to thrive in a dynamic environment where goals and requirements may be changing.
Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.
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