Salary
💰 $244,200 - $296,000 per year
About the role
- 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 current and 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 datasets and models.
- Implement best practices for MLOps pipelines, ensuring robust and scalable deployment of models.
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
- Authorization to work lawfully in the United States (application asks about work authorization and sponsorship)