We are developing advanced 3D dental imaging solutions powered by machine learning and computer vision. As a Computer Vision / Machine Learning Engineer, you will help shape the core intelligence behind our platform, turning complex 3D scan data into structured, actionable outputs through innovative modeling techniques.
What You’ll Do
- Design and train computer vision models that interpret dense 3D dental scans, extracting meaningful geometric features
- Explore and apply state-of-the-art methods in 3D deep learning and generative AI to support new product capabilities
- Collaborate with research and product teams to identify high-impact areas for automation and enhancement
- Process and analyze large datasets to build generalizable models and adapt them for specific clinical applications
- Develop robust evaluation frameworks to validate model performance and data quality
- Contribute to scalable MLOps practices that support rapid iteration and deployment
- Work within a feature-driven team environment to deliver tangible improvements to end users
What We’re Looking For
- Master’s degree plus 8+ years of relevant experience, or PhD with 5+ years in a technical role
- Strong command of Python and deep learning frameworks, particularly PyTorch
- Proven background in 2D or 3D deep learning, with direct experience in 3D geometric computer vision
- Deep commitment to code quality, accuracy, and delivering reliable results
- Advanced degree in computer science, engineering, or related discipline
- Ability to work on-site in Provo, UT, at least three days per week
Our Environment
We support a culture of inclusion, accessibility, and intellectual honesty. Our team values diverse perspectives and encourages bold thinking to solve difficult problems. We are an equal-opportunity employer and do not discriminate based on race, religion, gender, age, disability, or any other protected status.
Benefits
- Comprehensive healthcare coverage
- Dental and mental health support
- Resources for parental planning
- Retirement savings options
- Generous paid time off
