Computer Vision Algorithm Engineer – Near-Field 3D Reconstruction


Job Overview

Key Qualifications

  • Solid foundation in classical 3D computer vision algorithms including:
  • 3D transformations, camera models, camera calibration, stereo matching, multiple-view geometry and point-cloud registration
  • Deep understanding of machine learning algorithms applied to 3D computer vision problems
  • Solid background in Python or C/C++
  • Desirable skills: Deployment and productization of ML models and solid foundations in areas such as optimization, signal processing, and Bayesian statistics
  • Self-motivated, excellent problem solving, and communication skills
  • Description

    You will develop algorithms to solve complex computer vision problems that require effective, robust, efficient, well tested, and clean solutions. The ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work. You will work together with similar minds in a unique development team where your skills and expertise can be used to influence future user experiences and products that will be used by millions.

    Education & Experience

    A master’s degree with 2 years of experience, a PhD degree, or equivalent industry experience in computer vision, or related fields.

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