Dandy is transforming the dental industry through technology and is building a world-class Machine Learning & Computer Vision team. The role involves developing computer vision models and enhancing their 3D dental platform while working with product and research teams to identify improvement opportunities.
Responsibilities:
- Build Computer Vision models to extract structure from unstructured, information-dense 3D scans
- 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
Requirements:
- Machine Learning experience: 10+ years of experience post Master's degree, or 8+ years experience post PhD
- Extensive experience in Python
- Extensive experience in SOTA 2D deep learning and/or experience with 3D deep learning
- Experience with 3D geometric Computer Vision
- Experience with PyTorch
- Have immaculate attention to detail and take pride in delivering excellent code and results
- Masters or PhD in a related field
- Ability to overlap with US Eastern Standard Time working hours