Applied Research Scientist, Computer Vision & Machine Learning (XR)

☞ Oculus

Vue: 123

Jour de mise à jour: 25-04-2024

Localisation: Zürich Zürich ZH

Catégorie: IT - Matériel / Réseaux Informatique

Industrie:

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le contenu du travail

Facebook Reality Labs is helping more 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, Facebook Reality Labs 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.Our Mixed Reality (XR) organization in Zurich is focused on research and development of machine perception technologies from early concepts to production level across all of Facebook Reality Labs’ 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 be researching and developing state of the art computer vision and machine learning technologies for solving challenges that bridge virtual and real worlds and can impact billions of people. You will be setting technical direction for the projects you work on and will have opportunities to collaborate with other researchers, engineers and product teams. There are lots of exciting and challenging unsolved problems in computer vision and machine learning for Facebook Reality Labs. It is early days and we’re looking for you to usher in the next era of human - human and human - computer interaction by solving these problems together with us.


Applied Research Scientist, Computer Vision & Machine Learning (XR) Responsibilities:

  • Lead the design and development of novel computer vision and machine learning algorithms in areas such as segmentation, face tracking, body tracking, key point estimation, depth sensing, generative approaches such as GANs, 3D stereo and volumetric reconstruction, avatars, and virtual try-ons
  • Collaborate with cross-functional engineering and research teams in computer vision, machine learning, and graphics to enable next-generation AR/VR products based on cutting edge research



Minimum Qualifications:

  • PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field
  • Research concentration in areas such as object detection, segmentation, and tracking 2D and 3D key point / pose estimation and surface reconstruction, depth estimation, generative methods such as GANs, photorealistic rendering
  • Publication track record in top-tier conferences such as CVPR, NIPS, ECCV, ICCV, SIGGRAPH, ICML, etc



Preferred Qualifications:

  • 3+ years of industry experience in areas such as object detection, segmentation, and tracking 2D and 3D key point / pose estimation and surface reconstruction, depth estimation, generative methods such as GANs, photorealistic rendering
  • 3+ years of industry experience with deploying research ideas to production with deep neural networks (convolutional, recurrent, GANs) on large scale data
  • Experience with optimizing model architectures and algorithms for CPU/GPU, mobile, and other types of specialized hardware
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Date limite: 09-06-2024

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