Computer Vision Engineer (3D)

Posted 7 Days Ago
Be an Early Applicant
28 Locations
Remote
Mid level
HR Tech • Information Technology • Software
The Role
As a CV Engineer (3D), you will collaborate with computer vision team members to develop and improve algorithms for 3D reconstruction, SLAM, and scene understanding, focusing on delivering production-ready solutions. You'll implement efficient algorithms and work alongside the iOS team to enhance the scanning app experience, while keeping up with advancements in the computer vision field.
Summary Generated by Built In

Canvas is at the forefront of revolutionizing the remodeling, architecture and interior design industry through cutting-edge AI and computer vision technology. With our LiDAR-enabled iPhone or iPad scans, we capture precise 3D representations of homes in minutes, providing interactive models with accurate-to-the-inch measurements. Our proprietary process then turns these scans into highly detailed, editable, as-built files in industry-standard formats. Our technology was featured in Apple's keynote when the iPhone's LiDAR sensor was introduced and now we model millions of square feet each month.

We’re an early-stage startup that is growing and ready to accelerate even further. As a global virtual-first company, our team members are distributed worldwide, with a concentration in the US and Europe.

Job Description

In close collaboration with other computer vision team members, this role will involve a healthy mix of classical 3D computer vision and modern deep learning engineering, focused around 3D scanning, 3D reconstruction, SLAM, and scene understanding domains. We don't separate research from development. In this role, you'll be writing production code with focus on quality and value for customers, at the forefront of state-of-the-art computer vision.

What you’ll do:

  • Develop new and improve existing computer vision algorithms in the field of house-scale 3D reconstruction (from LiDAR and/or monocular camera), SLAM, and scene understanding.
  • Build efficient implementations of algorithms and deliver them to production.
  • Remain up to date with the latest advances in computer vision and deep learning technology, and apply them to our products..
  • Work closely with the iOS team to improve real-time scanning experience for our scanning app users.

You should have:

  • Experience in 3D computer vision R&D such as 3D scanning, RGBD algorithms, visual SLAM, sensor calibration and fusion, multi-view geometry, tracking and pose estimation, etc.
  • Ability to quickly evaluate applicability and value of existing state-of-the-art research for our product needs.
  • Experience with writing production C++ code.
  • Solid math background, especially in 3D math and linear algebra.
  • Comfortable working across multiple time zones and cultures.

Nice to have: 

  • Deep learning experience in application to 3D computer vision problems.
  • Experience of working with large production C++ codebases.

Top Skills

C++
The Company
HQ: Indianapolis, IN
25 Employees
On-site Workplace
Year Founded: 2016

What We Do

Canvas is the first enterprise-grade text-based interviewing platform that enables recruiters to screen more job candidates and market employment brands.

Fifty million millennials will be hired between now and 2025 and only 12% of millennials prefer phone calls for business communication. Canvas makes sure recruiters meet talent where they are. Chat with multiple candidates at the same time and never miss a beat with your library of interview questions and company culture content at your fingertips. Add private reactions to candidate responses and easily share chat transcripts with hiring managers.

The talent economy texted. It said things have changed.

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