Engineering Manager, Machine Learning

• 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

• 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
• 6+ years (or 5 years + PhD) of industry experience in applied machine learning
• At least 1 year 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
• Experience with ML frameworks like PyTorch

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

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