Computer Vision Engineer, Reality Labs, Hand Tracking

Meta • Burlingame, CA

75d • $70 - $208,000

About The Position

The Reality Labs (RL) organization at Meta 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. RL 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 XR Tech organization is focused on cutting edge research and development of machine perception technologies from early concepts to production level across all of Meta's AR/VR products and surfaces. These include Quest products, Meta Glasses and Family of Apps (Facebook, Instagram, Messenger, WhatsApp). We develop core capabilities across a range of product domains including Avatars and Interactions, 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, Hand Tracking, Eye Tracking, 3D reconstruction, visualization and toolings. In addition, there are opportunities to collaborate with researchers in Reality Labs Research (RL-R) and Facebook AI Research (FAIR).

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• MS degree in Computer Science, Computer Vision, Machine Learning or related technical field, or equivalent significant industry experience
• 3+ years of experience prototyping and engineering in at least ONE relevant specialization area in either Computer Vision or Machine Learning: Hand Tracking, Pose Estimation, Gesture Recognition, SLAM State Estimation, Online Calibration, Sensor Fusion, 3D reconstruction, object detection, segmentation and tracking, scene understanding, or semantic segmentation

Nice To Haves

• PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field
• Industry experience working on projects such as: Object or Hand Tracking and Detection, Pose Estimation, Gesture Recognition, real-time Simultaneous Localization and Mapping (SLAM), and/or image processing, image and/or semantic segmentation, 2D and 3D key point estimation and surface reconstruction, depth estimation
• Experience developing and designing Computer Vision and/or Machine Learning technologies and systems for running on edge devices (mobile phones, and/or custom hardware)
• Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, etc

Responsibilities

• Design and develop novel computer vision and/or machine learning algorithms in areas such as: hand tracking and gesture recognition, large scale mapping, reconstruction and scene understanding, real-time scene and object tracking, as well as semantic segmentation, depth sensing, generative approaches such as Generative Adversarial Networks (GANs), 3D stereo and volumetric reconstructions
• 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 Reality Labs (RL) 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

Benefits

• $70.67/hour to $208,000/year + bonus + equity + benefits
• Individual compensation is determined by skills, qualifications, experience, and location.
• In addition to base compensation, Meta offers benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
• Education Level: Master's degree