Senior Applied Research Scientist
4 days ago
We are seeking a highly motivated and creative senior computer vision researcher to join our team at Geomagical Labs.
About the Role- This is an exciting opportunity to develop and improve algorithms for 3D Reconstruction and Deep Learning, working on classical methods such as SfM/SLAM, Multi-view Stereo, RGB-D Fusion, and utilizing Deep Learning for tasks like Depth Estimation, Room Layout Estimation, NeRFs, Inverse Rendering, and 3D Scene Understanding.
- You will collaborate with a dynamic team of professionals in computer vision, AI, computational photography, AR, graphics, and design.
- Develop and improve algorithms for 3D Reconstruction and Deep Learning.
- Work on classical methods for 3D Reconstruction: SfM/SLAM, Multi-view Stereo, RGB-D Fusion.
- Utilize Deep Learning for 3D Reconstruction and/or Scene Understanding, including Depth Estimation, Room Layout Estimation, NeRFs, Inverse Rendering, and 3D Scene Understanding.
- Track post-launch performance and implement improvements based on user feedback.
- Ph.D. and 2+ years of experience, or Master's and 6+ years of experience, focused on 3D Computer Vision and Deep Learning.
- Familiarity with Computer Graphics and Computational Photography.
- 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.
- 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, ICLR etc.
- This role offers a mission-driven R&D lab environment, strategically backed by an influential global brand.
- Opportunity to publish novel and relevant research.
- Fully remote work available to people living in the USA or Canada.
- The estimated annual base salary for this full-time position is $205,000, determined by location, role, skill, and experience level.
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