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Dandy Logo

Senior Engineering Manager - Computer Vision / Machine Learning

Dandy

$216,800 - $296,000
Sep 24, 2025
Remote, US
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Dandy is transforming the dental industry by simplifying and modernizing dental practices through technology. The company is building a world-class Machine Learning & Computer Vision team to enhance its 3D dental platform and automate human-driven processes in manufacturing.

Requirements

  • Extensive experience in SOTA 2D deep learning and/or experience with 3D deep learning
  • 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.
  • 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.
  • 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.
  • Partner with product, engineering, and research stakeholders to align and execute technical strategy with business goals.

Other

  • Lead and grow a high-performing team of ML scientists, engineers, and researchers.
  • Collaborate with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines.
  • 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.
  • Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field with a strong focus on computer vision or machine learning.