Senior Machine Learning/Computer Vision Engineer, 3D Reconstruction and Semantic Understanding

What you'll do

• Develop and improve camera pose estimation algorithms for accurate localization and spatial understanding.
• Advance mesh generation, surface reconstruction, and texturing pipelines to produce high-fidelity 3D assets.
• Implement semantic scene understanding systems to guide and optimize the real-time capture process.
• Apply deep learning and foundation model techniques for segmentation, depth estimation, and multi-view geometry.
• Manage the full machine learning lifecycle including data strategy, training, evaluation, and production deployment.
• Research and prototype novel computer vision techniques to improve 3D reconstruction speed and robustness.
• Write high-quality, maintainable Python and C++ code for production systems.

What we're looking for

• Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, or a related quantitative field.
• Master's or Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field is preferred.
• 3+ years of hands-on experience in machine learning and computer vision.
• 5+ years of industry experience developing and deploying computer vision or ML systems in production environments is preferred.
• Proficiency in programming with Python and C++.
• Deep understanding of computer vision fundamentals including 3D geometry, multi-view reconstruction, and image formation.
• Experience with deep learning frameworks like PyTorch or JAX and libraries such as OpenCV.
• Expertise in 3D reconstruction, NeRF, Gaussian Splatting, SLAM, or structure-from-motion pipelines is preferred.