Dandy is transforming the massive and antiquated dental industry by simplifying and modernizing every function of the dental practice through technology, automation, and design. The Machine Learning team is tackling challenging problems at the intersection of Generative AI, 3D design, and advanced robotics to reshape the future of digital dentistry.
Requirements
- Strong programming skills in Python and familiarity with PyTorch or TensorFlow.
- Coursework or research experience in machine learning, deep learning, or applied AI.
- Prior exposure to large datasets, generative AI, or 3D/vision data is a plus, but not required.
Responsibilities
- Work with large, complex datasets (3D scans, sensor data, and beyond) to build and evaluate ML models.
- Explore and implement state-of-the-art machine learning methods, including generative modeling, deep learning, and applied optimization.
- Collaborate with researchers and engineers to improve existing ML pipelines and identify opportunities for innovation.
- Contribute to experiments, prototypes, and production-ready solutions in real-world applications.
- Learn best practices in MLOps, model evaluation, and applied research.
Other
- Current graduate (Master’s or PhD) student in Computer Science, Electrical/Computer Engineering, Applied Math, Physics, Mechanical Engineering, or related field.
- Curiosity, problem-solving skills, and the ability to work on open-ended challenges.
- Candidates must be able to reliably commute to the Dandy office in New York City, 3 days per week.
- Work on real-world healthcare related problems with immediate impact on our platform, customers, and millions of patients who ultimately receive our dental appliances.
- Gain experience at a fast-growing startup with a world-class technical team, including seasoned engineers from Google, Amazon, Meta, etc.
