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 processing large-scale 3D datasets like point clouds and meshes.
• Translate research prototypes into production-ready solutions and integrate ML models into the core platform.
• Evaluate and benchmark model performance to drive iterative enhancements to machine learning capabilities.
• Identify and apply new ML techniques and industry trends to solve specific company challenges.
• Contribute to the architectural design and strategic roadmap of the company's ML systems and research initiatives.
• 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.
• 3+ years of experience in machine learning research and development, focusing on computer vision or 3D data processing.
• Proficiency in Pytorch and strong programming skills in Python.
• Solid understanding of deep learning architectures, optimization techniques, and evaluation methodologies.
• Experience with data manipulation and analysis libraries like NumPy and Pandas.
• Demonstrated ability to conduct independent research and implement novel solutions for complex, real-world datasets.
• Ph.D. or Masters Degree in Computer Science, Computer Vision, Machine Learning, Robotics, or a related quantitative field (preferred).
• 5+ years of industry experience in applied machine learning research and development, particularly shipping models to production (preferred).