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 graduate (Master’s or 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!
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Be part of Dandy’s IT team as a Systems Administrator I supporting on-site infrastructure, endpoint management, and day-to-day technical operations for our Provo office.
Dandy seeks an experienced Office Manager in New York City to run HQ operations, vendor and budget management, onboarding logistics, and local engagement for a high-volume, fast-growing environment.
Lead the Ophthalmology data science team at Regeneron to design and deliver advanced analytics and predictive models that improve commercial performance and patient outcomes.
Lead the design and delivery of scalable, production-grade AI solutions and platform components at a fast-paced cybersecurity leader, applying deep ML expertise and systems engineering to real-world enterprise problems.
WeRide's Silicon Valley Metrics Team is hiring an early-career Data Scientist to drive data processing, statistical evaluation, and visualization efforts that support ADAS and autonomous vehicle validation.
Experienced Data Scientist needed to build predictive models, ETL pipelines, and investigator-facing dashboards in support of a classified cybersecurity/infrastructure protection contract.
Experienced ML leader wanted to manage a cross-functional team building scalable analytics, ML pipelines, and LLM-driven solutions for Netflix’s Content Enterprise.
Super.com is hiring a remote Data Scientist to build predictive models, run experimentation, and collaborate with cross-functional teams to drive data-informed product and business decisions.
Entrust is seeking a Senior Automation Data Analyst to lead the intelligent automation data practice, applying data engineering, ML, and workflow automation to reduce friction and scale automation impact.
Lead high-impact, product-aligned experiments on foundation models using PyTorch and distributed training to improve real-world customer outcomes at Liquid AI.
Experienced data scientist needed to build scalable marketing analytics and machine learning solutions that improve media performance and business decision-making.
Join Doppel as a Senior Data Scientist (Product Analytics) to shape product metrics, build scalable dashboards, and deliver forecasting and analytical models that guide cross-functional decisions.
Lead the design and production of multimodal, agentic AI systems at Zillow to deliver context-aware, autonomous experiences across vision, language, and voice for millions of customers.
CareSource is hiring an AI Developer to architect and deploy generative AI and MLOps solutions—leveraging LLMs, vector databases, and cloud infrastructure—to drive measurable business outcomes.
Experienced data scientist needed to build and productionize people analytics models at SoFi, enabling predictive insights across hiring, retention, mobility, and workforce planning.