Ofertas de empleo de Desarrolladores de software en Suiza
Engineering Manager, Computer Vision & Machine Learning (xr People)
Clasificación del trabajo: Profesionales científicos e intelectuales : Profesionales de tecnología de la información y las comunicaciones : Desarrolladores y analistas de software y multimedios : Desarrolladores de software.
Akademische Berufe : Akademische und vergleichbare Fachkräfte in der Informations- und Kommunikationstechnologie : Entwickler und Analytiker von Software und Anwendungen : Softwareentwickler
Descripción de la oferta de trabajo:
The Facebook Reality Labs (FRL) organization at Facebook is helping people around the world come together and connect through world-class Augmented and Virtual reality (AR/VR) products. With global departments dedicated to research and development in computer vision, machine learning, haptics, social interaction, and more, FRL is committed to driving the state of the art forward through relentless innovation. The potential to change the world is immense - and we’re just getting started.
Augmented and Virtual reality will transform the way people come together to work and play. By developing new hardware and software products capable of understanding human appearance, movement and expression, we aim to make it possible for people to feel like they are directly in front of each other, despite being separated by vast distances.
Our XR People organization in Zurich is focused on research and development of machine perception technologies from early concepts to production level across all of Facebook’s FRL products and surfaces including Oculus products and Family of Apps (Facebook, Instagram, Messenger, WhatsApp). We develop core capabilities across a range of product domains including Avatars, AR/VR remote presence / calling, AR Commerce, AR Sharing, and more.
In this role you will both manage and partner with groups working across the full spectrum from research to product development supporting multiple product lines. You will oversee technical investment portfolios comprising state-of-the-art computer vision, machine learning and software engineering technology areas spanning object detection, segmentation, tracking, 2D and 3D key point estimation and surface reconstruction, generative methods such as GANs, photorealistic rendering, and more. You will also be responsible for developing longer-term technical and product strategies in collaboration with key partners.
Prospective candidates should have sufficient technical depth and breadth in the associated set of technologies to make portfolio management, resourcing and roadmap decisions.
Engineering Manager, Computer Vision & Machine Learning (XR People) 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
Engaging cross-functionally with other researchers and engineers to develop concepts that advance the entire product pipeline across hardware, software, integration, infrastructure, and applications
Recruit world-class talent and provide mentorship to team members
Working closely with various organizations to define and execute the long-term strategies and roadmaps
Coordinating with research, user research, art, partnership and legal to both define and execute technology development with key partners & suppliers
Developing and communicating technology development strategies and status
Facilitating and working with the team to proactively alleviate project bottlenecks
BS or MS degree in Engineering, Physics, Computer Science or equivalent experience
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
PhD in a related field of Computer Vision or Machine Learning
Experience in leading teams developing social presence technologies such as detection, segmentation and tracking of human faces and bodies in video streams, 3d shape estimation, AR effects, avatars and virtual try-ons
Experience in leading teams interfacing with HW (sensors, silicon) teams in setting requirements and product tradeoffs
Flexibility and resilience in a dynamic environment
About the Facebook company
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.
Facebook is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-extfb.com.
País del trabajo: Suiza.
Número de puestos: 1.
Empleador: Facebook Switzerland Sàrl.
Instrucciones para solicitar:
Forma de contacto:
- Teléfono: +44 77 532 86 551
- Sitio web: https://www.facebook.com/careers/jobs/660350798022993/
Identificador de la vacante:c680c464-f0f6-11ea-80c4-005056ac086d.
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