Senior Machine Learning R&D Engineer – Matterport

Visual Lease

Sunnyvale (CA)

Hybrid

USD 270,000 - 334,000

Full time

14 days+

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Benefits offered by this job

Healthcare coverage

Dental & Vision

401(k) with match

Stock purchase plan

Paid time off

Tuition reimbursement

Job summary

Matterport is seeking a Senior Machine Learning R&D Engineer to advance 3D reconstruction and generative scene completion for digital twins. You will research and build large-scale models, focusing on neural rendering, novel view synthesis, and diffusion-based generation across indoor and outdoor spaces.

You will collaborate with researchers and engineers to translate research into production-ready pipelines, evaluate models with rigorous benchmarks, and contribute to Matterport's architectural

Qualifications

Bachelor's degree in a relevant field with strong research track record.
Experience in machine learning research and development, focusing on CV, 3D data, neural rendering, or generative modeling.
Proficiency in PyTorch and Python; solid ML fundamentals and evaluation methods.
Experience with data manipulation libraries (NumPy, Pandas).
Independent researcher with ability to propose and implement novel solutions.

Responsibilities

Research, design, and train large-scale models for 3D reconstruction and scene completion.
Advance neural rendering and novel view synthesis for indoor/outdoor spaces.
Develop generative approaches (diffusion, 3D generation) for occluded regions and unseen views.
Build scalable training/inference pipelines for 3D data including images, video, point clouds, and meshes.
Translate research prototypes into production-ready systems with engineering teams.

Skills

Machine learning research

3D data processing

Neural rendering

Generative modeling

Strong communication

Education

Bachelor's degree

Master's degree / PhD preferred

Tools

PyTorch

Python

NumPy

Pandas

Job description

Senior Machine Learning R&D Engineer – Matterport

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. This role is located in our Sunnyvale, CA office and has a schedule of 4 days on-site and 1 day remote.

About the Role

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's degree from an accredited, not-for-profit, in-person University or College
A track record of commitment to prior employers.
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.
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.

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.

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 snacks