Matterport – Senior Machine Learning/Computer Vision Engineer – 3D Reconstruction and Semantic [...]

Matterport; Sunnyvale (CA); On-site; USD 190,000 - 253,000; Full time

Benefits offered by this job

Healthcare coverage

401(k) with matching

Tuition reimbursement

Stock purchase plan

Paid time off

On-site fitness

Job summary

Matterport is seeking a Senior Machine Learning/Computer Vision Engineer to lead research, design, and deployment of state-of-the-art ML/CV systems on the Vision & Learning team. You will influence the full pipeline from intelligent capture guidance to 3D reconstruction and asset delivery.

This on-site role in Sunnyvale, CA requires collaboration across hardware, software, and product teams, and strong Python and C++ coding skills.

Qualifications

• Bachelor's degree or equivalent in a quantitative field with strong fundamentals.
• 3+ years hands-on ML/vision experience and production-ready software skills.
• Proficient in Python and C++. Knowledge of 3D geometry and multi-view reconstruction.
• Experience with PyTorch, JAX, OpenCV; Git and Agile development experience.
• Strong problem-solving and communication abilities.

Responsibilities

• Research, develop and improve camera pose estimation for robust localization.
• Advance mesh generation, surface reconstruction and texturing pipelines.
• Design intelligent systems using semantic scene understanding to guide capture.
• Apply deep learning across the vision pipeline to improve robustness.
• Collaborate with hardware, software and product teams to address failure modes.
• Contribute to data collection, model training, evaluation frameworks and deployment.
• Prototype novel CV/ML techniques to improve speed and quality of 3D reconstructions.
• Stay current with CV and 3D ML advances and translate research into production.
• Write high-quality, tested Python and C++ code.

Skills

3+ years ML/CV

Python

C++

3D geometry

Multi-view reconstruction

Image formation

PyTorch

JAX

OpenCV

Git

Agile

Problem solving

Communication

Education

Bachelor's degree in CS/EE/Math

Equivalent practical experience

Master's or PhD (preferred)

Tools

CUDA

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.

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.

Location and Schedule: 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 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 families.
• 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 snacks.

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.

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