Matterport - Lead Machine Learning R&D Engineer

Matterport is leading the digital transformation of the built world. As a Lead Machine Learning R&D Engineer, you will innovate and advance the spatial computing platform by researching, designing, and implementing machine learning algorithms that enhance the digitization of physical spaces into digital twins.

Responsibilities:

• Conduct cutting-edge research in machine learning, computer vision, and 3D data processing to develop novel algorithms and models for spatial understanding and digital twin creation
• Design, implement, and optimize robust and scalable ML systems and pipelines for processing large-scale 3D datasets, including point clouds, meshes, and images
• Translate research prototypes into production-ready solutions, collaborating closely with engineering teams to integrate ML models into Matterport's core platform
• Evaluate and benchmark model performance, identify areas for improvement, and drive iterative enhancements to our ML capabilities
• Stay up-to-date with the latest advancements in ML research and industry trends, and proactively identify opportunities to apply new techniques to Matterport's challenges
• Collaborate with cross-functional teams including product managers, software engineers, and other researchers to define project requirements, explore technical feasibility, and deliver high-impact features
• Present research findings and technical solutions to internal teams and potentially the broader ML community
• Contribute to the architectural design and strategic roadmap of Matterport's ML systems and research initiatives
• Contribute to the intellectual property of Matterport through patents and publications

Requirements:

• Bachelor's Degree required from an accredited, not for profit university or college
• A track record of commitment to prior employers
• 3+ years of experience in machine learning research and development, with a strong focus on computer vision, 3D data processing, or related areas
• Proficiency in Pytorch and strong programming skills in Python
• Solid understanding of machine learning fundamentals, including deep learning architectures (e.g., CNNs, Transformers), optimization techniques, and evaluation methodologies
• Experience with data manipulation and analysis libraries (e.g., NumPy, Pandas)
• Demonstrated ability to conduct independent research, propose novel solutions, and implement them effectively
• Excellent problem-solving skills and the ability to work with complex, real-world datasets
• Strong verbal and written communication skills
• Ph.D. or Masters Degree in Computer Science, Machine Learning, Robotics, Computer Vision, or a related quantitative field
• 5+ years of industry experience in applied machine learning research and development, particularly with shipping models to production
• Demonstrated expertise in one or more of the following areas: 3D computer vision (e.g., SLAM, NeRFs, 3D reconstruction, point cloud processing, mesh processing), generative models, 2D/3D semantic understanding, depth estimation, neural rendering
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices
• Strong track record of publications in top-tier conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML) or significant contributions to open-source projects
• Experience mentoring junior engineers or leading technical projects
• Excellent communication skills, both written and verbal, with the ability to articulate complex technical concepts to a diverse audience