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Summer 2027 Internship - PhD Research Intern

Dandy•New York, NY
•$60 - $72•Hybrid

About The Position

Dandy is seeking PhD Research Interns to explore how machine learning can reshape digital dentistry and advance generative AI. Interns will work with large and complex datasets, including 3D scans and sensor data, to build and evaluate machine learning models. They will explore and implement modern methods in generative modeling, deep learning, and applied optimization, and tackle problems in 3D dental prosthetic design by using and refining outputs from generative AI models and perception systems. Interns will collaborate with researchers and engineers to improve ML pipelines, identify opportunities for innovation, and contribute to experiments, prototypes, and production-ready solutions. The role also offers opportunities to learn best practices in MLOps, model evaluation, and applied research. Candidates must be able to reliably commute to Dandy’s New York City office three days per week.

Requirements

  • Be a current PhD student in Computer Science, Electrical or Computer Engineering, Applied Math, Physics, Mechanical Engineering, or a related field.
  • Have strong programming skills in Python and familiarity with PyTorch or TensorFlow.
  • Have coursework or research experience in machine learning, deep learning, or applied AI.
  • Be able to reliably commute to Dandy’s New York City office three days per week.

Nice To Haves

  • For CAD-focused work, a strong technical background and demonstrated passion for performant graphics, geometric computations, or novel 3D algorithms.
  • Prior exposure to large datasets, generative AI, or 3D/vision data.

Responsibilities

  • Work with large, complex datasets, including 3D scans and sensor data, to build and evaluate machine learning models.
  • Explore and implement state-of-the-art machine learning methods, including generative modeling, deep learning, and applied optimization.
  • Address frontier problems in 3D dental prosthetic design by consuming and refining outputs from generative AI models and perception layers.
  • Collaborate with researchers and engineers to improve existing ML pipelines and identify opportunities for innovation.
  • Contribute to experiments, prototypes, and production-ready solutions for real-world applications.
  • Learn best practices in MLOps, model evaluation, and applied research.

Benefits

  • Dedicated mentorship from experienced engineers.
  • The posting describes benefits for full-time positions, including healthcare, dental, mental health support, parental planning resources, retirement savings options, and generous paid time off.

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