Engineering Manager, Machine Learning - Remote

Overview

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.

In Short

• Lead execution of the ML roadmap, managing a team focused on 3D deep learning and computer vision.
• Partner with product, engineering, and research stakeholders to align and execute technical strategy with business goals.
• Lead and grow a high-performing team of ML scientists, engineers, and researchers.
• Drive the development of computer vision models to extract structure from unstructured, information-dense 3D scans.
• Research and implement state-of-the-art methods for developing models for 3D generative AI tasks as well as conventional computer vision tasks.
• Collaborate with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines.
• Manage large-scale datasets to develop both generic models as well as fine-tune models for specific applications.
• Develop evaluation methods to establish confidence in our datasets and models.
• Implement best practices for our MLOps pipelines, ensuring robust and scalable deployment of models.

Requirements

• Bachelor’s in Computer Science, Electrical Engineering, Robotics, or a related field with a strong focus on computer vision or machine learning.
• 5+ years of industry or academic experience in applied machine learning, with at least 2+ years in a leadership or management role.
• Strong people management skills with a track record of team development, mentorship, and retention.
• Demonstrated ability to lead cross-functional efforts across product, engineering, research, and operations.
• Strong coding skills in Python and experience with ML frameworks like PyTorch.
• Experience working with 3D data (point clouds, meshes, depth maps, volumetric data) and 3D ML frameworks is preferred.

Benefits

• Wide range of best-in-class, comprehensive, and inclusive benefits tailored to each country where we operate.
• Local benefits packages typically include healthcare, dental, mental health support, parental planning resources, retirement savings options, and generous paid time off.
• Support for team members no matter where they live and work.