Senior Machine Learning Engineer I

Dandy • New York, NY

112d

About The Position

Dandy is transforming the massive and antiquated dental industry—an industry worth over $200B. Backed by some of the world’s leading venture capital firms, we’re on an ambitious mission to simplify and modernize every function of the dental practice through technology. As we expand our reach globally, Dandy is building the operating system for dental offices around the world—empowering clinicians and their teams with technology, innovation, and world-class support to achieve more for their practices, their people, and their patients. In the past 3 years, Dandy has built the leading digital-first custom dental appliance manufacturer. As we go through our next level of scale, Dandy is building a world class Machine Learning & Computer Vision team to enhance our 3D dental platform and automate many of the human-driven processes in our manufacturing today. The global, remote team tackles problems involving 3D geometric computer vision, generative deep learning, and SOTA machine learning methods. As a part of this newly created team, you will play a key role in laying the foundation that will drive the team’s success. You will establish best practices, solve ambiguous data problems that have never been solved before with industry wide impact, and be given the freedom to innovate.

Requirements

• 3+ years experience, 2+ in Machine Learning
• Extensive experience in Python
• Extensive experience with either PyTorch or Tensorflow
• Have immaculate attention to detail and take pride in delivering excellent code and results
• Masters or PhD in related field

Nice To Haves

• Experience in SOTA 2D deep learning and/or experience with 3D deep learning is a plus
• Experience with 3D geometric Computer Vision is a plus

Responsibilities

• Build machine learning models to extract structure from unstructured, information-dense 3D scans as well as other sensory data in dentistry
• Research SOTA methods for developing models to accomplish 3D generative AI tasks as well as conventional computer vision tasks
• Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines
• Work with massive datasets to develop both generic models as well as fine tune models for specific applications
• Develop evaluation methods which allow us to establish confidence in our datasets and models
• Implement best practices for our MLOps pipelines
• Work closely with product owners on a feature focused team to deliver value quickly to Dandy’s customers

Benefits

• Healthcare
• Dental
• Mental health support
• Parental planning resources
• Retirement savings options
• Generous paid time off

What This Job Offers

• Career Level: Mid Level
• Education Level: Master's degree
• Number of Employees: 1,001-5,000 employees