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Product Manager, Reality Labs
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Computer Vision Engineer, Reality Labs - Burlingame, United States - META
Description
Summary:
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 were 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 Metas AR/VR products and surfaces. These include Oculus products, Meta 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, SLAM, 3D scene reconstruction, machine perception, visualization and toolings. In addition, there are opportunities to collaborate with researchers in Reality Labs Research (RL-R) and Facebook AI Research (FAIR).
Required Skills:
Computer Vision Engineer, Reality Labs Responsibilities:
Design and develop novel computer vision and/or machine learning algorithms in areas such as: large scale mapping, reconstruction and scene understanding, real-time scene and object tracking, as well as semantic segmentation, depth sensing, generative approaches such as 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
Minimum Qualifications:
Minimum Qualifications:
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.
3+ years of experience developing and designing Computer Vision and/or Machine Learning technologies and systems on 3D reconstruction and mapping.
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, Online Calibration, Sensor Fusion, 3D reconstruction, object detection, segmentation and tracking, scene understanding, or semantic segmentation.
Preferred Qualifications:
Preferred Qualifications:
PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field.
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.
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.
Public Compensation:
$146,994/year to $208,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-
