Matterport – Senior Machine LearningComputer Vision Engineer – 3D Reconstruction and Semantic Understanding

Job Description

Company Overview:
CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estateinformation analytics and online marketplaces. Included in the S&P 500 Index CoStar Group is on amission to digitize the worlds real estate empowering all people to discover properties insights andconnections that improve their businesses and lives.

We have been living and breathing the world of real estate information and online marketplaces forover 35 years giving us the perspective to create truly unique and valuable offerings to our continually refined transformed and perfected our approach to our business creating alanguage that has become standard in our industry for our customers and even our competitors. Wecontinue that effort today and are always working to improve and drive innovation. This is how wedeliver for our customers our employees and investors. By equipping the brightest minds with the bestresources 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

As a Senior Machine Learning/Computer Vision Engineer on our Vision & Learning team you will drive the research design and production deployment of state-of-the-art machine learning and computer vision systems at the core of our spatial capture and reconstruction platform. You will be a key contributor across the full vision pipeline from intelligent capture guidance to 3D reconstruction and asset delivery ensuring the highest possible quality of the digital twins our users create.

You will work at the intersection of applied research and engineering tackling hard problems in camera pose estimation 3D scene reconstruction semantic understanding and visual perception. Your work will directly shape both the capture experience we provide to users and the quality of the assets we deliver to customers.

This roleislocatedinour Sunnyvale CAoffice and has a schedule of 4 days on-site and 1 dayremote.

What You Will Do

• Research develop and improve camera pose estimation algorithms to enable accurate robust localization and spatial understanding across diverse capture scenarios.
• Advance mesh generation surface reconstruction and texturing pipelines to produce high-fidelity production-ready 3D assets at scale.
• Design and implement intelligent systems that leverage semantic scene understanding to guide and optimize the capture process in real time improving both user experience and output quality.
• Apply deep learning and foundation model techniques across the vision pipeline including segmentation depth estimation multi-view geometry and appearance modeling to improve robustness and generalization.
• Collaborate with hardware software and product teams to identify and address failure modes across the end-to-end pipeline through data-driven analysis and targeted model improvements.
• Contribute to the full ML lifecycle: data collection strategy model training evaluation frameworks production deployment and ongoing monitoring.
• Research and prototype novel computer vision and machine learning techniques to advance the quality speed and robustness of our 3D reconstruction and capture systems.
• Stay current with the latest advances in computer vision neural rendering and 3D ML; evaluate and integrate relevant research into production systems.
• Write high-quality well-tested and maintainable Python and C code.

Basic Qualifications

• Bachelors degree in Computer Science Electrical Engineering Mathematics or a related quantitative field or equivalent practical experience from an accredited not-for-profit in-person University or College
• A proven track record of commitment to prior employers.
• 3 years of hands-on experience in machine learning and computer vision.
• Strong programming skills in Python and C.
• Deep understanding of computer vision fundamentals including 3D geometry multi-view reconstruction and image formation.
• Experience with deep learning frameworks (e.g. PyTorch JAX) and computer vision libraries (e.g. OpenCV).
• Experience with version control systems (e.g. Git) and agile development methodologies.
• Excellent problem-solving skills and a strong ability to debug complex multi-component systems.
• Strong verbal and written communication skills.

Preferred Qualifications

• Masters or Ph.D. in Computer Vision Machine Learning Robotics or a related field.
• 5 years of industry experience developing and deploying computer vision or ML systems in production environments.
• Experience with camera pose estimation visual odometry SLAM or structure-from-motion pipelines.
• Background in 3D reconstruction NeRF Gaussian Splatting mesh processing or related neural rendering methods.
• Experience applying semantic understanding scene segmentation or multi-modal learning to real-world capture or reconstruction pipelines.
• Familiarity with differentiable rendering UV mapping texture generation or appearance modeling.
• Experience with performance optimization on GPUs (CUDA) or other hardware accelerators.
• Demonstrated ability to translate cutting-edge research into practical robust and scalable software solutions.

Whats in it for you
When you join CoStar Group youll experience a collaborative and innovative culture working alongsidethe best and brightest to empower our people and customers to succeed. We offer you generous compensation and performance-based incentives. CoStar Group also invests inyour 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
• On-site fitness center and/or reimbursed fitness center membership costs (location dependent)
• Access to CoStar Groups Employee Resource Groups
• Complimentary gourmet coffee tea hot chocolate fresh fruit and other healthy snack

This position offersa base salary range from $190000 to $253000 a yeardeterminedby relevant skills and experience and a generous benefits plan.

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CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing