Lead Machine Learning R&D Engineer

What you'll do

• Conduct research in machine learning, computer vision, and 3D data processing to develop novel algorithms for spatial understanding.
• Design, implement, and optimize scalable ML systems and pipelines for large-scale 3D datasets like point clouds and meshes.
• Translate research prototypes into production-ready solutions integrated into the core platform.
• Evaluate and benchmark model performance to drive iterative enhancements to machine learning capabilities.
• Identify and apply emerging ML techniques and industry trends to solve complex real-world problems.
• Contribute to the architectural design and strategic roadmap of the company's ML systems.
• Generate intellectual property for the company through patents and technical publications.

What we're looking for

• Bachelor's Degree from an accredited, not-for-profit university or college.
• Master's or Ph.D. in Computer Science, Computer Vision, Machine Learning, Robotics, or a related quantitative field is preferred.
• 3+ years of experience in machine learning research and development with a focus on computer vision or 3D data processing.
• 5+ years of industry experience in applied machine learning R&D and shipping models to production is preferred.
• Proficiency in PyTorch and strong programming skills in Python.
• Solid understanding of deep learning architectures, optimization techniques, and evaluation methodologies.
• Experience with data manipulation libraries like NumPy and Pandas.
• Expertise in neural rendering, 3D computer vision, or image/video generation models is preferred.