Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Sunnyvale, CA, US
Open 6 months, first seen by us 182 days agoAs 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:Read the full posting
Employment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
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.
Research and build novel ML algorithms for spatial understanding and digital twin creation
Design and optimize scalable ML pipelines for large 3D datasets like point clouds and meshes
Turn research prototypes into production-ready solutions integrated into the core platform
Evaluate and benchmark model performance and drive iterative improvements
Present research findings and technical solutions to internal teams and the wider ML community
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.
Conduct cutting-edge research in machine learning, computer vision, and 3D data processing to develop novel algorithms and models
Design, implement, and optimize robust and scalable ML systems and pipelines for processing large-scale 3D datasets
Translate research prototypes into production-ready solutions
Evaluate and benchmark model performance, identify areas for improvement, and drive iterative enhancements
Present research findings and technical solutions to internal teams and potentially the broader ML community.
Basic 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. Preferred Qualifications & Skills:
Preferred Qualifications & Skills: * 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. Perks & Benefits:
Matterport is leading the digital transformation of the built world.
In the employer’s words · Read in context
Open 6 monthsWe first saw this posting 182 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Day 182
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,331 similar postings that came down. Coming down is not always a hire.
25 open jobs
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Basic 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. Preferred Qualifications & Skills:
Preferred Qualifications & Skills: * 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. Perks & Benefits:
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We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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Sunnyvale, CA, US
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:
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 Group’s Employee Resource Groups Pay Transparency:
No clear work-authorization passage found. Eligibility is unconfirmed.