Matterport - Senior Machine Learning R&D Engineer

Matterport - Senior Machine Learning R&D Engineer This role is located in Sunnyvale, CA and has a schedule of 4 days on-site and 1 day remote. About the Role As a Senior Machine Learning R&D Engineer at Matterport, a part of CoStar Group, you will innovate and advance our spatial computing platform. You will research, design, and implement cutting‑edge machine learning algorithms and models that transform physical spaces into rich digital twins, extract valuable insights, and create delightful user experiences. You will work within a dynamic R&D environment, collaborating closely with fellow engineers, researchers, and product teams to translate ideas into tangible features. Responsibilities Conduct cutting‑edge research in machine learning, computer vision, and 3D data processing to develop novel algorithms 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, proactively identifying opportunities to apply new techniques to Matterport's challenges. Collaborate with cross‑functional teams—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 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. Basic Qualifications Bachelor’s Degree required from an accredited, non‑profit university or college. A track record of commitment to prior employers. 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. Preferred Qualifications & Skills Ph.D. or Master’s Degree in Computer Science, Computer Vision, Machine Learning, Robotics, 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: neural rendering (e.g., Gaussian splatting, NeRFs, large reconstruction models, world models), 3D computer vision (e.g., SLAM, 3D reconstruction, point cloud processing, mesh processing), image/video generation models, 2D/3D semantic understanding, depth estimation. 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, SIGGRAPH) 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. Perks & Benefits Comprehensive healthcare coverage: Medical, Vision, Dental, Prescription Drug. Life, legal, and supplementary insurance. Virtual and in‑person mental health counseling services for individuals and families. Commuter and parking benefits. 401(k) retirement plan with matching contributions. Employee stock purchase plan. Paid time off. Tuition reimbursement. On‑site fitness center and/or reimbursed fitness center membership costs (location dependent). Access to CoStar Group’s Culture Employee Resource Groups. This position offers an annual pay range from $2700,000 - $334,000 determined by relevant skills and experience, and a generous benefits plan. CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug‑free workplace and perform pre‑employment substance abuse testing. #J-18808-Ljbffr CoStar Group