Senior Machine Learning Engineer - Computer Vision at Dandy
Job Description
About Dandy
Dandy is transforming the dental industry by building a modern, digital-first platform for custom dental appliances. Backed by leading venture capital firms, Dandy is scaling globally to modernize clinical workflows and automate manufacturing with cutting-edge technology. The company is building a world-class Machine Learning and Computer Vision team to advance 3D dental automation.
Role Overview
We are hiring a Senior Machine Learning Engineer - Computer Vision to join our global, remote team. You will research and build computer vision and generative deep learning models that extract structure from 3D scans, enable 3D generative AI tasks, and automate manual processes in our manufacturing pipeline. This is a high-impact role where you will establish best practices, design evaluation methods, and ship models that drive product value.
What You Will Do
- Build computer vision models to extract geometric and structural information from information-dense 3D scans.
- Research state-of-the-art methods for 3D generative AI tasks and 2D/3D computer vision problems, and apply them to product features.
- Work with massive datasets to develop both general and fine-tuned models for specific applications.
- Develop evaluation methodologies to quantify dataset and model confidence and performance.
- Implement MLOps best practices and production-ready pipelines for training, validation, and deployment.
- Collaborate closely with product, research, and engineering teams to identify opportunities and deliver features that add customer value quickly.
What We're Looking For
- 6+ years of relevant experience in machine learning, computer vision, or related fields.
- Extensive experience in Python and deep learning frameworks, with hands-on experience in PyTorch preferred.
- Strong background in 2D deep learning and/or 3D deep learning, including 3D geometric computer vision techniques.
- Experience designing and evaluating models on large datasets, and developing robust metrics and validation approaches.
- Ability to write production-quality code, with strong attention to detail and engineering discipline.
- Masters or PhD in a related quantitative field is preferred but not required.
Location and Team
This is a remote role on a globally distributed team. The team works across regions and Dandy adjusts compensation and benefits by candidate location. You will collaborate with product and research teams to deliver features and improvements for Dandyβs 3D dental platform.
Compensation and Benefits
Salary range: $216,800 - $255,000 USD for U.S.-based roles. Actual compensation will vary by candidate location, skills, qualifications, and experience. Compensation listed for U.S. roles applies only to candidates working in the United States; candidates outside the U.S. will receive regionally adjusted compensation.
For full-time positions, Dandy offers comprehensive benefits tailored to each country where we operate. Typical local benefits include healthcare and dental coverage, mental health support, parental planning resources, retirement savings options, and paid time off. Dandy is committed to inclusive, best-in-class benefits to support team members globally.
Equal Opportunity and Accessibility
Dandy is an equal opportunity employer. We welcome and celebrate diversity, and do not discriminate based on race, religion, color, national origin, gender, gender identity, sexual orientation, age, disability, veteran status, citizenship, or any other legally protected characteristic. If you require accommodations during the interview or application process, please contact us and we will make reasonable arrangements.
Additional Details
Req ID: J-684. Candidates who enjoy solving ambiguous, novel problems in 3D vision and generative AI, and who take pride in production-grade engineering, will thrive in this role. Visit Dandy Careers for more information and to apply online.
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About Dandy
Dandy is a fully digital dental lab that provides dentists a seamless workflow from scanning to prosthetic delivery, combining live clinical support, on demand manufacturing, and digital tools that reduce chair time and remakes.
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