Lead Machine Learning R&D Engineer

About Matterport

Matterport is leading the digital transformation of the built world. Our groundbreaking spatial computing platform turns buildings into data making every space more valuable and accessible. Millions of buildings in more than 170 countries have been transformed into immersive Matterport digital twins to improve every part of the building lifecycle from planning, construction, and operations to documentation, appraisal, and marketing.

As a Staff Machine Learning R&D Engineer at Matterport, a part of CoStar Group, you will be at the forefront of innovating and advancing our spatial computing platform. You will play a critical role in researching, designing, and implementing cutting-edge machine learning algorithms and models that enhance our ability to digitize the built world, transform physical spaces into rich digital twins, extract valuable insights from them, and create delightful user experiences that make it easy for our customers to modify and interact with their digital twins.

This role requires a deep understanding of ML principles, a passion for solving complex real-world problems in 3D data, computer vision, and a desire to contribute to a product that is revolutionizing how people interact with and understand real estate. You will work within a dynamic R&D environment, collaborating closely with fellow engineers, researchers, and product teams to translate groundbreaking ideas into tangible features that empower our users and expand the capabilities of our platform.

• 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.

• Bachelor's Degree
• 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., Num Py, 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…