Dandy is building the operating system for dental offices worldwide, simplifying and modernizing dentistry through technology. We are hiring a Computer Vision / Machine Learning Engineer to establish a foundational team for our 3D dental platform. You will automate human-driven manufacturing processes by tackling problems in 3D geometric computer vision, generative deep learning, and state-of-the-art machine learning.

What You'll Do

Build Computer Vision models to extract structure from unstructured, information-dense 3D scans.
Research state-of-the-art methods for developing models for 3D generative AI and conventional computer vision tasks.
Work with product and research teams to identify opportunities for improvement in current and upcoming product lines.
Work with massive datasets to develop both generic models and fine-tuned models for specific applications.
Develop evaluation methods 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 customers.

What We're Looking For

8+ years experience post Master's degree, or 5+ years of experience post PhD.
Extensive experience in Python.
Extensive experience in state-of-the-art 2D deep learning and/or experience with 3D deep learning.
Experience with 3D geometric Computer Vision.
Experience with PyTorch.
Immaculate attention to detail and pride in delivering excellent code and results.
Masters or PhD in a related field.
Candidates must be able to work onsite in Provo, UT 3 days per week.

Technical Stack

Python
PyTorch

Team & Environment

Part of a newly created, global, remote Machine Learning & Computer Vision team.

Benefits & Compensation

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

Work Mode

This is a hybrid position based in Provo, UT, requiring onsite presence 3 days per week.

Dandy is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics.