Artificial Intelligence / Data Science at VideaHealth

At VideaHealth we are building an AI-powered platform that helps dental clinicians deliver faster, more accurate diagnoses and better patient outcomes. Our team of engineers, AI scientists, and clinicians spun out of MIT with a bold goal: to be the first company to diagnose a billion people globally. Our technology is already trusted by thousands of dental professionals, and we are backed by leading investors including Spark Capital, Zetta Venture, and Pillar VC.

What is this role?

We are offering a full-time internship position on our AI team. The role is open to students and recent graduates who want to apply their studies in a real-world healthtech setting. The internship lasts at least three months, begins on a flexible schedule, and can be performed entirely remotely.

What will you do?

• Work side-by-side with machine-learning engineers on a focused project in deep learning or data science that you help shape based on your background and interests.
• Develop and implement state-of-the-art algorithms while analyzing large, real-world datasets that directly affect patient care.
• Present your findings, iterate on feedback, and take ownership of a project that contributes to meaningful advances in dental health.

What makes you a great fit?

We are looking for someone currently enrolled in or recently graduated from a master’s or PhD program in computer science or a related field. You should bring hands-on experience building deep-learning models or data pipelines and feel comfortable working in Python. Strong communication skills and genuine curiosity are essential, because you will collaborate daily with clinicians, engineers, and data scientists. Above all, you should be motivated by the chance to improve people’s health through technology.

English fluency is required for seamless collaboration across the team.

What's in it for you?

• The opportunity to define and own a high-impact project that matches your interests and academic focus.
• Daily exposure to technical challenges that go beyond textbook examples, guided by experts in machine learning and clinical AI.
• A fully remote setup with flexible hours so you can balance the internship with your studies or other commitments.
• A collaborative culture where you can grow your technical skills while contributing to a mission-driven healthtech company.