Role Description As a Lead 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. This is a remote position. 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. Qualifications - 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. Requirements - Ph.D. or Masters 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. Benefits - Generous compensation and performance-based incentives. - Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug. - Life, legal, and supplementary insurance. - Virtual and in-person mental health counseling services for individuals and family. - 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 Employee Resource Groups. Pay Transparency This position offers an annual pay range from $270,000 - $307,000 determined by relevant skills and experience, and a generous benefits plan.

• Research, design, and develop new machine learning solutions and algorithms for driverless technology company • Explore, prototype, validate, and iterate new algorithms and strategies • Drive efforts to optimize, supervise and refine on-road performance for models in production • Be considered one of the technical leaders of the department who guides current and future technology choices

• Collaborate with scientists, domain experts, software engineers and product teams to define requirements. • Support product owners in refining user stories and defining acceptance criteria. • Translate business requirements into technical AI solutions. • Communicate complex technical concepts to technical and non-technical stakeholders. • Provide technical guidance and mentorship to junior engineers. • Lead technical planning and execution of AI/ML initiatives. • Review code and ML implementations from team members. • Identify state-of-the-art AI technique (ML, Deep Learning, genAI etc.) and the needed data sets, to solve business problems. • Design and develop AI and ML models to solve complex business problems and drive automation and efficiency improvements in workflows. • Prepare data for AI models, including cleansing, transformation and feature engineering. • Train and fine-tune AI models, including the preparation of data sets, and incorporating pre-processing and post-processing steps to further refine AI model output. • Measure model accuracy. • Collaborate with solution and application architects to ensure successful integration of AI models with enterprise platform and use in production. • Identify and address issues related to scalability, performance, security, privacy, and reliability of ML models. • Work on deploying models in production environments, managing data pipelines, and ensuring scalability. • Contribute to the company’s intellectual property through innovative solutions. • Publish and present work at conferences.

• Design, train and improve upon cutting-edge models. • Help us develop new techniques to train and serve models safer, better, and faster. • Train extremely large-scale models on massive datasets. • Explore continual and active learning strategies for streaming data. • Learn from experienced senior machine learning technical staff. • Work closely with product teams to develop solutions.