Senior Applied Researcher & Lead - 3D Reconstruction & Deep Learning

Requirements

• Ph.D. and 3+ years of experience, or Master's and 6+ years of experience, focused on 3D Computer Vision and Deep Learning.
• Experience building Deep Learning models for 3D Vision tasks, like Depth Estimation, Room Layout Estimation, Inverse Rendering, Pose Estimation or 3D Scene Understanding.
• Familiarity with modern methods for Novel View synthesis, like NeRFs/Gaussian Splats and Diffusion models.
• Familiarity with classical methods for 3D Reconstruction: SfM/SLAM, Multi-view Stereo, RGB-D Fusion.
• Expertise in ML frameworks and libraries, e.g. PyTorch.
• Highly productive in Python. Ability to architect and implement complex systems at the micro and macro level.
• Experience in developing technologies that got integrated into products, as well as post-launch performance tracking and shipping improvements.
• Entrepreneurial: Adventurous, self-driven, comfortable under uncertainty, with a desire to make systems work end-to-end.
• Innovative: with a track record of patents and/or first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, SIGGRAPH, ISMAR, NeurIPS etc.
• [Bonus] Familiarity with Computer Graphics and Computational Photography.
• [Bonus] Comfortable with C++.

Benefits

• Join a mission-driven R&D lab, strategically backed by an influential global brand.
• Work in a dynamic team of computer vision, AI, computational photography, AR, graphics, and design professionals, and successful serial entrepreneurs.
• Opportunity to publish novel and relevant research.
• Fully remote work available to people living in the USA or Canada.
• Headquartered in downtown Palo Alto, California --- an easy walk from restaurants, coffee shops and Caltrain commuter rail.
• The USA base salary for this full-time position ranges from $180,000 to $250,000 determined by location, role, skill, and experience level.
• Geomagical Labs offers a comprehensive set of benefits, and for qualifying roles, substantial incentive grants, vesting annually.