Remote Senior Applied Research Scientist

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Geomagical Labs

πŸ’΅ $180k-$250k
πŸ“Remote - United States

Job highlights

Summary

Geomagical Labs is seeking a senior computer vision researcher with expertise in 3D Reconstruction and Deep Learning to develop and improve the underlying algorithms for their consumer products. The role requires a Ph.D. or Master's degree, along with relevant experience in classical methods for 3D Reconstruction and Deep Learning for 3D Reconstruction and Scene Understanding. The position offers a comprehensive set of benefits, substantial incentive grants (for qualifying roles), and remote work opportunities for those living in the USA or Canada.

Requirements

  • Ph.D. and 2+ years of experience, or Master's and 6+ years of experience, focused on 3D Computer Vision and Deep Learning
  • Experience in classical methods for 3D Reconstruction: SfM/SLAM, Multi-view Stereo, RGB-D Fusion
  • Experience in using Deep Learning for 3D Reconstruction and/or Scene Understanding, having worked in any of: Depth Estimation, Room Layout Estimation, NeRFs, Inverse Rendering, 3D Scene Understanding
  • 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

Responsibilities

Develop and improve the underlying algorithms powering consumer products

Preferred Qualifications

Comfortable with C++

Benefits

  • 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

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