Virtual Vision Scientist Jobs (NOW HIRING)

The Reality Labs organization is helping more people around the world come together and connect through 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, RL is committed to advancing the state of the art through ongoing research and development. The potential to change the world is immense - and we're just getting started. Our Mixed Reality (XR) organization 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 capacity 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, visualization and human interaction. As well there are opportunities to collaborate with researchers in Reality Labs (RL) and Facebook AI Research (FAIR).
Responsibilities
Design and develop novel factory and online calibration algorithms for sensors and displays. Design and prototype automation for calibration in collaboration with mechanical engineers and prototyping technicians
• Collaborate with cross-functional engineering and research teams from Reality Labs and 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 achieve impact based on your direction
• Contribute to engineering best practices, code quality standards, and technical culture within your team
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 3+ years of experience developing and designing Computer Vision and Perception algorithms for Robotics technologies and systems
• Experience engineering in C++
• Prototyping and engineering experience in at least ONE relevant specialization area in Computer Vision or Perception for Robotics: Camera Calibration, Online Calibration, State Estimation, Sensor Fusion, 3D Reconstruction, Camera Pose Estimation, Structure-From-Motion
• MS degree in Computer Science, Computer Vision, Robotics or a related technical field
Preferred Qualifications
• Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, RSS, ICRA, IROS, etc
• Industry experience working on projects such as: Camera Calibration, Online Calibration, State Estimation, Sensor Fusion, 3D Reconstruction, Camera Pose Estimation, Structure-From-Motion
• PhD degree in Computer Science, Computer Vision, Robotics or a related technical field
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.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.