Job description

Senior Machine Learning R&D Engineer – Matterport Job Description CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We’ve continually refined, transformed, and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate. 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. About the Role: Matterport has captured one of the largest and most diverse repositories of real-world 3D spatial data in existence. We are building a team to turn that data into a foundational reconstruction model — a model that can reconstruct, complete, understand, and generate photorealistic 3D spaces from sparse, incomplete, or noisy captures. As a Senior Machine Learning R&D Engineer on this team, you will research and build the next generation of neural reconstruction and generative systems that power Matterport s digital twins. Rather than reconstructing only what the camera saw, our goal is to generatively complete spaces — filling occlusions, synthesizing unseen views, upgrading capture fidelity, and ultimately generating entire coherent 3D environments. You will work at the intersection of neural rendering, novel view synthesis, and generative modeling, training large-scale models on Matterport s proprietary data to solve problems that no existing dataset or model can address. This is a hands-on research-and-engineering role for someone who wants to push the state of the art in 3D generative AI and ship it into a product used across 170 countries. You will collaborate closely with fellow researchers, platform engineers, and product teams to translate frontier ideas into capabilities our customers can feel. Responsibilities: Research, design, and train large-scale foundational models for 3D reconstruction and generative scene completion, leveraging Matterport s proprietary corpus of real-world spatial data. Advance the state of the art in neural rendering (e.g., Gaussian splatting, NeRFs, feed-forward/large reconstruction models) and novel view synthesis for real-world indoor and outdoor spaces. Develop generative approaches — including diffusion models and video/3D generation — to complete occluded or missing regions, synthesize unobserved viewpoints, and enhance the realism and completeness of digital twins. Design, implement, and optimize scalable training and inference pipelines for large 3D and multi-view datasets, including images, video, point clouds, and meshes. Translate research prototypes into production-ready systems, partnering with engineering teams to integrate models into Matterport s core capture and reconstruction platform. Define rigorous evaluation methodologies and benchmarks for reconstruction quality, view synthesis fidelity, and generative plausibility; drive iterative improvements against them. Stay current with advances across neural rendering, generative modeling, and 3D vision, and proactively identify opportunities to apply new techniques to Matterport s challenges. Collaborate with product managers, software engineers, and researchers to scope projects, assess technical feasibility, and deliver high-impact features. Contribute to the architectural design and strategic roadmap of Matterport s foundational reconstruction model and broader ML research initiatives. Contribute to Matterport s intellectual property through patents and publications and represent our work to the broader research community. Basic Qualifications: Bachelor s degree from an accredited, not-for-profit, in-person 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, neural rendering, or generative modeling. Proficiency in PyTorch and strong programming skills in Python. Solid understanding of machine learning fundamentals, including deep learning architectures (e.g., CNNs, Transformers, diffusion models), 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: Ph.D. or Master s Degree in Computer Science, Computer Vision, Machine Learning, Graphics, Robotics, or a related quantitative field. 5 years of industry experience in applied ML research and development, particularly training and shipping large models to production. Demonstrated expertise in building or training foundation / large-scale models and/or depth in two or more of the following: Neural rendering & novel view synthesis — Gaussian splatting, NeRFs, large/feed-forward reconstruction models, differentiable rendering. Generative modeling — diffusion models, image/video generation, 3D generation, world models. 3D computer vision — 3D reconstruction, SLAM/structure-from-motion, multi-view geometry, point cloud and mesh processing, depth estimation. Experience with large-scale model training infrastructure — distributed/multi-GPU training, large-dataset curation and pipelines, and scaling to large model and data sizes. Strong track record of publications at top-tier venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, SIGGRAPH) or significant open-source contributions. Ability to use AI tools to accelerate work. Experience mentoring junior engineers or leading technical projects. Ability to articulate complex technical concepts to a diverse audience. What s in it for you? When you join CoStar Group, you’ll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed. We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training and tuition reimbursement. Our benefits package includes (but is not limited to): 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 Onsite fitness center and/or reimbursed fitness center membership costs (location dependent) Access to CoStar Group’s Employee Resource Groups Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks The final salary or hourly rate offered for this role will fall within the range set forth below based on a variety of factors, including but not limited to, geographic location, skills, and competencies. Base Compensation: $270,000 - $307,000 (Annually) #Matterport #LI-VP1 CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

Requirements

Must-haves

Senior Machine Learning R&D Engineer – Matterport
Research, design, and train large-scale foundational models for 3D reconstruction and generative scene completion, leveraging Matterport s proprietary corpus of real-world spatial data.
Advance the state of the art in neural rendering (e.g., Gaussian splatting, NeRFs, feed-forward/large reconstruction models) and novel view synthesis for real-world indoor and outdoor spaces.
Develop generative approaches — including diffusion models and video/3D generation — to complete occluded or missing regions, synthesize unobserved viewpoints, and enhance the realism and completeness of digital twins.
Design, implement, and optimize scalable training and inference pipelines for large 3D and multi-view datasets, including images, video, point clouds, and meshes.
Translate research prototypes into production-ready systems, partnering with engineering teams to integrate models into Matterport s core capture and reconstruction platform.
Define rigorous evaluation methodologies and benchmarks for reconstruction quality, view synthesis fidelity, and generative plausibility; drive iterative improvements against them.
Stay current with advances across neural rendering, generative modeling, and 3D vision, and proactively identify opportunities to apply new techniques to Matterport s challenges.
Collaborate with product managers, software engineers, and researchers to scope projects, assess technical feasibility, and deliver high-impact features.
Contribute to the architectural design and strategic roadmap of Matterport s foundational reconstruction model and broader ML research initiatives.
Contribute to Matterport s intellectual property through patents and publications and represent our work to the broader research community.
Bachelor s degree from an accredited, not-for-profit, in-person 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, neural rendering, or generative modeling.
Proficiency in PyTorch and strong programming skills in Python.
Solid understanding of machine learning fundamentals, including deep learning architectures (e.g., CNNs, Transformers, diffusion models), 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 Master s Degree in Computer Science, Computer Vision, Machine Learning, Graphics, Robotics, or a related quantitative field.
5 years of industry experience in applied ML research and development, particularly training and shipping large models to production.
Generative modeling — diffusion models, image/video generation, 3D generation, world models.
3D computer vision — 3D reconstruction, SLAM/structure-from-motion, multi-view geometry, point cloud and mesh processing, depth estimation.

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Keywords to mirror

machine learningaimlpython

Platform: workday
Effort: long

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Dental

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401(K)