Engineering Manager, Machine Learning

Summary

Join Dandy's world-class Machine Learning & Computer Vision team as a Machine Learning Engineering Manager. Lead the execution of the ML roadmap, managing a team focused on 3D deep learning and computer vision. Partner with various stakeholders to align technical strategy with business goals. Lead and grow a high-performing team, driving the development of computer vision models to extract structure from 3D scans. Research and implement state-of-the-art methods for 3D generative AI and conventional computer vision tasks. Collaborate with product and research teams to identify improvement opportunities. Manage large-scale datasets and develop evaluation methods for models. Implement best practices for MLOps pipelines, ensuring robust and scalable deployment.

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

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

Preferred Qualifications

Experience working with 3D data (point clouds, meshes, depth maps, volumetric data) and 3D ML frameworks is preferred

Benefits

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