Senior Engineering Manager - Computer Vision / Machine Learning

Dandy

90d

About The Position

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 the past 3 years, Dandy has built the leading digital-first custom dental appliance manufacturer. As we scale to our next level of growth, we are establishing a world-class Machine Learning & Computer Vision team to enhance our 3D dental platform and automate many of the human-driven processes in our manufacturing today.

Requirements

• Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field with a strong focus on computer vision or machine learning.
• Extensive experience in SOTA 2D deep learning and/or experience with 3D deep learning.
• 8+ years (or 6 years + PhD) of industry 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.

Responsibilities

• 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 to accomplish 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.

Benefits

• Healthcare
• Dental
• Mental health support
• Parental planning resources
• Retirement savings options
• Generous paid time off

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees