Software Engineer, Computer Vision - Meta - SF

AR is unimaginable without advanced computer vision technology. We are rapidly growing and  looking to hire multiple world-class engineers and researchers who can help us build the future of computing.


Our computer vision systems have to work in challenging environments with a vast range of users. We are looking for trailblazers with strong software, algorithms, and math skills to help us build the best AR headset in the market.


Our teams work on accurate inside-out head tracking using cameras and inertial measurement units. We work on human-machine interactions using  natural hand motions and gestures. And we have to tie all our hardware and software systems together with accurate tools and calibration processes.


We are looking for engineers at various levels of seniority. Exceptionally strong candidate may have the opportunity to lead our teams too.


  • SLAM, Mapping and Relocalization

    Sensor Fusion (e.g. Kalman Filtering)

    Machine Learning

    Deep Learning and Convolutional Neural Networks

    Hand Pose Estimation and Gesture Recognition

    Human Pose Estimation

    3D Geometry


    Camera Calibration

    • PhD or MS in Computer Vision or closely related field.
    • Fluency in C++, familiarity with Python or Matlab.
    • Ability to develop clean, efficient and well-tested code.
    • Experience developing computer vision, machine learning, or robotics algorithms.
    • Ability to convey complex technical ideas clearly in speaking and writing in a fast paced team.
    • Deep expertise in one or more of our specific areas of interest including: 

Meta has been defining the field of Augmented Reality (AR) since the company's inception in 2012. It exploded onto the marketplace with the first see-through glasses that enabled developers and users to move and manipulate 3D content intuitively, using natural hand interactions.


With its new Meta 2 headset, Meta is once again setting the market standard by designing a product that will change the paradigm of interface computing with experiences and principles grounded in neuroscience. Meta is found online at:

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