PhD Research Intern - ML

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.

Dandy is a high growth health tech company and the leading digital-first manufacturer of custom dental appliances. In just three years, we’ve built a world-class platform that transforms dentistry through technology, automation, and design. As we scale, our Machine Learning team is tackling challenging problems at the intersection of Generative AI, 3D design, and advanced robotics.

We are looking for motivated interns to join us in exploring how bleeding edge machine learning can reshape the future of digital dentistry and advance the state-of-the-art for generative AI. This is a hybrid/in office role based in our New York City headquarters.

As a Machine Learning Intern at Dandy, you will:

• 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.
  

• Current PhD student in Computer Science, Electrical/Computer Engineering, Applied Math, Physics, Mechanical Engineering, or related field.

• Strong programming skills in Python and familiarity with PyTorch or TensorFlow.

• Coursework or research experience in machine learning, deep learning, or applied AI.

• Curiosity, problem-solving skills, and the ability to work on open-ended challenges.

• Prior exposure to large datasets, generative AI, or 3D/vision data is a plus, but not required.

• 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.

• Opportunity to innovate and publish while contributing to applied ML systems.

• Mentorship from experienced ML engineers and researchers.

• Be part of a collaborative, NYC-based team where innovation happens daily.

Req ID: J-736

For full-time positions, Dandy offers a wide range of best-in-class, comprehensive, and inclusive benefits tailored to each country where we operate. Our local benefits packages typically include healthcare, dental, mental health support, parental planning resources, retirement savings options, and generous paid time off—ensuring our team members are supported no matter where they live and work.

Dandy is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. 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.

Dandy also fully complies with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals. If you require any accommodations for your interview or have any questions beforehand, rest assured that we will do everything we can to meet your needs. Visit Dandy Careers for more!