Pay
In line with similar jobs
$190K–$253K against $166K–$240K, the middle half of what similar US postings state.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Matterport – Senior Machine Learning/Computer Vision Engineer – 3D Reconstruction and Semantic Understanding
Sunnyvale, CA, US
Open 4 months, first seen by us 146 days ago- Pay
$190,000–253,000/year · Base — pay source
* 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 * Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snack This position offers a base salary range from $190,000 to $253,000 a year, determined by relevant skills and experience, and a generous benefits plan. #Matterport #LI-VP1
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingAs 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 work at the intersection of applied research and engineering, tackling hard problems in camera pose estimation, 3D scene reconstruction, semantic understanding, and visual perception.
Improve camera pose estimation for accurate localization across capture scenarios
Advance mesh generation, surface reconstruction, and texturing pipelines for 3D assets
Build semantic systems that guide the capture process in real time
Apply deep learning across segmentation, depth estimation, and multi-view geometry
Diagnose pipeline failure modes with hardware, software, and product teams
From the employer’s posting
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.
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
Apply deep learning and foundation model techniques across the vision pipeline — including segmentation, depth estimation, multi-view geometry, and appearance modeling
Collaborate with hardware, software, and product teams to identify and address failure modes across the end-to-end pipeline
Education & alternatives
Basic Qualifications * Bachelor's 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
Preferred Qualifications * Master's 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. 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.
About CoStar
Matterport is leading the digital transformation of the built world.
In the employer’s words · Read in context
Posting record
Report an errorOpen 4 monthsWe first saw this posting 146 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 10, 2026146 days ago
- Recorded sightings
- 331
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 146
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,301 similar postings that came down. Coming down is not always a hire.
CoStar is hiring
25 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- C++
- Python
- PyTorch
Where the posting names them
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
Basic Qualifications * Bachelor's 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
Your next step
Complete your application on costar.eightfold.ai. The employer’s form will show what is required.
Applying through Eightfold
- You sign in, with Microsoft, LinkedIn, Google, Facebook or a new account, before the application opens.
Already applied? Track this application
About the role
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.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
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.
Job description
Matterport – Senior Machine Learning/Computer 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 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 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 role is located in our Sunnyvale, CA office and has a schedule of 4 days on-site and 1 day remote. 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 * Bachelor's 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 * Master's 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. 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 * On-site 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 snack This position offers a base salary range from $190,000 to $253,000 a year, determined by relevant skills and experience, and a generous benefits plan. #Matterport #LI-VP1 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
Job Description
Company Overview: 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 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 role is located in our Sunnyvale, CA office and has a schedule of 4 days on-site and 1 day remote. 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 * Bachelor's 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 * Master's 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. 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 * On-site 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 snack This position offers a base salary range from $190,000 to $253,000 a year, determined by relevant skills and experience, and a generous benefits plan. #Matterport #LI-VP1 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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
* 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 * Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snack This position offers a base salary range from $190,000 to $253,000 a year, determined by relevant skills and experience, and a generous benefits plan. #Matterport #LI-VP1
- Location & working pattern
Sunnyvale, CA, US
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 role is located in our Sunnyvale, CA office and has a schedule of 4 days on-site and 1 day remote. What You Will Do
More source context
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 * Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snack This position offers a base salary range from $190,000 to $253,000 a year, determined by relevant skills and experience, and a generous benefits plan.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.