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Computer Vision Engineer

Posted: 18 Jun 2021 Closes: 18 Jul 2021
Zurich, Switzerland Competitive
Permanent & Full-time FBK_1439267693078278

The Facebook Reality Labs (FRL) organisation at Facebook 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, 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.Our Mixed Reality (XR) organization in Zurich is focused on cutting edge research and development of machine perception technologies from early concepts to production level across all of Facebook's AR/VR products and surfaces. These include Oculus products, Facebook Glasses 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, Spatial , Calibration and more.In this role, you will be researching and applying a range of software, computer vision and machine learning techniques for solving challenges that bridge virtual and real worlds and will impact billions of people. We're addressing a variety of technical challenges in the areas of real-time image processing, 3D graphics, SLAM, scene reconstruction, machine perception, visualisation and human interaction. As well there are opportunities to collaborate with researchers in Facebook Reality Labs (FRL) and Facebook AI Research (FAIR).

Computer Vision Engineer Responsibilities


  • Design and develop novel computer vision and/or machine learning algorithms in areas such as: real-time scene and object tracking, reconstruction and understanding as well as, segmentation, face tracking, body tracking, key point estimation, depth sensing, generative approaches such as GANs, 3D stereo and volumetric reconstruction, avatars, reconstructions and virtual try-ons.

  • Develop prototypes for future VR/AR/MR experiences, drive continued development, and integrate robust solutions into product.

  • Collaborate with cross-functional engineering and research teams from Facebook Reality Labs (FRL) and Facebook AI Research (FAIR)in computer vision, machine learning, and graphics.

  • Participate in cutting edge research in computer vision that can be applied to AR/VR product development.

  • Define projects for other engineers to possibly solve and achieve impact based on your direction

Minimum Qualifications


  • BSc degree in Computer Science, Computer Vision, Machine Learning, or related technical field.

  • 3+ years of experience developing and designing Computer Vision and/or Machine Learning technologies and systems.

  • 3+ years of experience engineering in C++ and/or Python

  • Prototyping and engineering experience in at least ONE relevant specialization area in either Computer Vision or Machine Learning: SLAM State Estimation Sensor Fusion Generative models such as GANs Pose estimation: Body, Facial, Hand or Eye Tracking Dense 3D reconstruction Object detection, segmentation and tracking Scene understanding/ Semantic Segmentation Photorealistic rendering Factory, HW, Camera or Online Calibration

Preferred Qualifications


  • MSc or PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field.

  • 2+ years of industry experience working on projects such as: real-time SLAM and 3D reconstruction, sensor fusion and active depth sensing, object and body tracking and pose estimation, and/or image processing. Image and/or semantic segmentation, 2D and 3D key point estimation and surface reconstruction, depth estimation, generative methods such as GANs, or photorealistic rendering.

  • Developing and designing Computer Vision and/or Machine Learning technologies and systems for running on edge devices (mobile phones, and/or custom hardware)

  • Background in machine learning with experience in large scale training and evaluation of deep convolutional and/or recurrent neural networks and/or GANs.

  • Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, etc.

  • Applications and resumes to be submitted in English.

Locations

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 support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or who are neurodivergent, and to candidates with sincerely held religious beliefs or requiring pregnancy related support. If you need support, please reach out to accommodations-ext@fb.com.
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