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

Work set-up: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Ph.D. or Master's degree in a relevant field with extensive experience in 3D Computer Vision and Deep Learning., Proficiency in building deep learning models for 3D vision tasks such as depth estimation and scene understanding., Familiarity with modern view synthesis methods like NeRFs and diffusion models, as well as classical 3D reconstruction techniques., Strong programming skills in Python and experience with ML frameworks like PyTorch..

Key responsibilities:

  • Develop and improve algorithms for 3D reconstruction and deep learning applications.
  • Conduct research to create innovative technologies for consumer products.
  • Collaborate with a multidisciplinary team of researchers and engineers.
  • Publish research findings and contribute to product development and performance optimization.

Geomagical Labs logo
Geomagical Labs Computer Software / SaaS Scaleup https://www.geomagical.com/
51 - 200 Employees
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Job description

Geomagical Labs is a 3D R&D Lab, in partnership with IKEA. We create magical mixed-reality experiences for hundreds of millions of users, using computer vision, neural networks, graphics, and computational photography. Last year we launched IKEA Kreativ, and we’re excited for what’s next!

We have an opening in our lab for a senior computer vision researcher, with 3D Reconstruction and Deep Learning expertise, to develop and improve the underlying algorithms powering our consumer products. We are looking for highly-motivated, creative, applied researchers with entrepreneurial drive, that are excited about building novel technologies and shipping them all the way to the hands of millions of customers!

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.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Computer Software / SaaS
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Depth Perception
  • Entrepreneurship
  • Innovation

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