Senior Machine Learning R&D Engineer – Matterport

CoStar Group; Sunnyvale (CA); On-site; USD 270,000 - 307,000; Full time

Benefits offered by this job

Healthcare coverage

Tuition reimbursement

401(k) with matching

Employee stock purchase plan

Paid time off

Onsite fitness center

Job summary

CoStar Group’s Matterport division seeks a Senior Machine Learning R&D Engineer to push the boundaries of neural reconstruction and generative systems for 3D spaces. You will work at the intersection of neural rendering, novel view synthesis, and large‑scale model training on Matterport’s proprietary data.

This hands‑on research role partners with researchers, platform engineers, and product teams to translate frontier ideas into production‑ready capabilities used across 170+ countries.

Qualifications

• Bachelor’s degree from an accredited university.
• Strong background in machine learning research and development.
• Experience with CV, 3D data processing, and generative modeling.
• Proficiency in PyTorch and Python.
• Knowledge of deep learning architectures and evaluation techniques.
• Experience with data manipulation libraries.

Responsibilities

• Research, design, and train large-scale models for 3D reconstruction and scene completion.
• Advance neural rendering techniques and novel view synthesis for real spaces.
• Develop diffusion and generative approaches to complete occluded regions.
• Design scalable training and inference pipelines for multi-view data.
• Translate prototypes into production-ready systems with engineers.
• Define evaluation methodologies and benchmarks for quality.
• Stay updated on 3D vision and generative modeling advances.
• Collaborate with product teams to scope and deliver features.
• Contribute to architectural designs and roadmap for reconstruction models.
• Contribute to IP through patents and publications.

Skills

PyTorch

Python

Computer vision

3D data processing

Neural rendering

Diffusion models

Model training

Research & development

Education

Bachelor's degree

PhD or Master’s

Tools

NumPy

Pandas

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. Includedin the S&P 500 Index, CoStar Group is on a missiontodigitizetheworld’srealestate,empoweringallpeopletodiscoverproperties,insightsand 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 offeringstoour 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 deliverforourcustomers,ouremployees,andinvestors.Byequippingthebrightestmindswiththebest 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’sdegreefromanaccredited,not-for-profit,in-personUniversityorCollege
• Atrackrecordofcommitmenttoprioremployers.
• 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 initforyou?

WhenyoujoinCoStarGroup,you’llexperienceacollaborativeandinnovativecultureworkingalongsidethebestandbrightesttoempowerourpeopleandcustomerstosucceed.

Weofferyougenerouscompensationandperformance-basedincentives.CoStarGroupalsoinvestsinyour professionaland academic growth with internal training and tuition reimbursement.

• Ourbenefitspackageincludes(butisnotlimitedto):
• Comprehensivehealthcarecoverage:Medical/Vision/Dental/PrescriptionDrug
• Life,legal,andsupplementaryinsurance
• Virtualandinpersonmentalhealthcounselingservicesforindividualsandfamily
• Commuterandparkingbenefits
• 401(K)retirementplanwithmatchingcontributions
• Employeestockpurchaseplan
• Paidtimeoff
• Tuitionreimbursement
• Onsitefitnesscenterand/orreimbursedfitnesscentermembershipcosts(locationdependent)
• AccesstoCoStarGroup’sEmployeeResourceGroups
• Complimentarygourmetcoffee,tea,hotchocolate,freshfruit,andotherhealthysnacks

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.

BaseCompensation:$270,000-$307,000(Annually)

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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