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Staff Software Engineer - Computer Vision - Remote

Posted 6 weeks ago
Software Development
Full Time
USA

Overview

Dandy is transforming the massive ($200B) but antiquated dental industry through technology, aiming to integrate and simplify every function of the dental practice. We are building the operating system for every dental office in America, empowering dentists with innovation and support.

In Short

  • Work on enhancing Dandy's 3D dental platform.
  • Automate human-driven processes in manufacturing.
  • Engage in 3D geometric computer vision and generative deep learning.
  • Establish best practices for interdisciplinary teams.
  • Guide junior engineers in bringing research code to production.
  • Implement current computer vision and machine learning approaches.
  • Recover optical properties of human teeth from images.
  • Develop realistic rendering pipelines for dental restorations.

Requirements

  • 10+ years experience in software development.
  • 3+ years in rendering or adjacent projects.
  • 3+ years in 2D or 3D computer vision.
  • Experience bringing research products to market.
  • Knowledge in simulating optical properties of materials.
  • Experience in inverse rendering and scene reconstruction.
  • Familiarity with photo realistic rendering techniques.
  • Understanding of neural rendering and related fields.

Benefits

  • Comprehensive healthcare and dental benefits.
  • Parental planning and mental health support.
  • 401(k) plan.
  • Paid time off.
Dandy logo

Dandy

Dandy is a forward-thinking company revolutionizing the dental industry, which is valued at $200 billion but has remained largely outdated. With the support of prominent venture capital investors, Dandy aims to integrate and simplify all functions of dental practices through innovative technology. The company is dedicated to building a comprehensive operating system for dental offices across America, empowering dentists with cutting-edge technology, innovation, and exceptional support to enhance their practices, improve patient care, and optimize operational efficiency.

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