Meta - Burlingame, CA

posted 5 months ago

Full-time - Mid Level
Burlingame, CA
5,001-10,000 employees
Web Search Portals, Libraries, Archives, and Other Information Services

About the position

The Reality Labs (RL) organization at Meta is at the forefront of developing world-class Augmented and Virtual Reality (AR/VR) products, aiming to connect people globally through innovative technologies. The XR-Tech organization within RL focuses on cutting-edge research and development of machine perception technologies, transitioning from early concepts to production levels across all of Meta's AR/VR products, including Oculus products, Meta Glasses, and the Family of Apps (Facebook, Instagram, Messenger, WhatsApp). This role involves researching and applying a variety of software, computer vision, and machine learning techniques to solve challenges that bridge the virtual and real worlds, impacting billions of users. The position addresses technical challenges in real-time image processing, SLAM (Simultaneous Localization and Mapping), 3D scene reconstruction, machine perception, visualization, and tooling. Collaboration with researchers from Reality Labs Research (RL-R) and Facebook AI Research (FAIR) is also a key aspect of this role. As a Computer Vision Engineer in Reality Labs, you will be responsible for designing and developing novel computer vision and machine learning algorithms in areas such as large-scale mapping, reconstruction, scene understanding, real-time scene and object tracking, semantic segmentation, depth sensing, and generative approaches like GANs. You will develop prototypes for future VR/AR/MR experiences, drive continued development, and integrate robust solutions into products. Additionally, you will collaborate with cross-functional engineering and research teams from RL and FAIR, participate in cutting-edge research applicable to AR/VR product development, and define projects for other engineers to solve, achieving significant impact based on your direction.

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, semantic segmentation, depth sensing, and generative approaches such as GANs.
  • 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.

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.
  • 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.

Nice-to-haves

  • 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.

Benefits

  • Health insurance coverage
  • Dental insurance coverage
  • Vision insurance coverage
  • 401k benefit for retirement savings plan
  • 401(k) matching benefit
  • Paid holidays
  • Paid volunteer time
  • Flexible scheduling
  • Professional development opportunities
  • Employee discount programs
  • Mental health days
  • Life insurance coverage
  • Gym membership
  • Tuition reimbursement
  • Relocation assistance
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