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forREAL
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Computer Vision Engineer

forREAL · Danvers, MA

Actively hiring Posted 4 months ago

Company Description

forREAL is a modern platform focused on simplifying the leasing experience for tenants and landlords. Tenants can browse listings, take 3D tours, and complete the application process seamlessly on their phones. Landlords benefit from centralized management of the leasing cycle, from tours to rent collection, all in one platform.

Role Description

We are seeking a full-time Computer Vision Engineer to join our team on-site in Danvers, MA. The role involves designing and implementing cutting-edge computer vision algorithms to enhance virtual tours and automated rental solutions. Responsibilities include developing 3D spatial reconstruction technics, pattern recognition models, utilizing computer vision techniques, collaborating with cross-functional teams, and integrating vision systems into our rental platform. The engineer will also work on performance optimization and ensure seamless integration of these technologies with the platform’s functionalities.

Qualifications

  • Strong experience with SLAM, Structure from Motion (SfM) and camera pose estimation
  • Strong experience with 3D Gaussian Splatting and surface reconstruction
  • Proficiency in Python and C/C++
  • Hands-on experience designing and implementing computer vision algorithms (segmentation, object detection, classification, tracking)
  • Familiarity with deep learning models and their deployment
  • Solid understanding of multi-view geometry
  • Proficiency in OpenCV, and either PyTorch or TensorFlow
  • Proficiency with modern graphics libraries such as OpenGL, Metal, Vulkan, DirectX
  • Experience working with 3D point clouds, mesh generation, and libraries such as Open3D, Trimesh, or PCL
  • Familiarity with 3D reconstruction pipelines (e.g., COLMAP, NerfStudio, Photogrammetry tools)
  • Experience working with multi-modal sensors: GPS, LiDAR, stereo/depth cameras, IMUs
  • Proficient in path planning algorithms (both global and local)
  • Strong knowledge of coordinate frames, and camera calibration

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Fulltime Computer Vision Ai
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