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Staff Machine Learning R&D Engineer
Matterport
Research & develop ML algorithms for 3D spatial computing and digital twins.
8d ago
$270,000 - $307,000
Intermediate (4-7 years), Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Sunnyvale, CA
Office Full-Time
Company Size
455 Employees
Service Specialisms
3D Modeling
Virtual Tours
Spatial Data Analytics
Digital Twin Technology
Building Information Modeling (BIM)
Real Estate Services
Construction Documentation
Facility Management
Sector Specialisms
AEC (Architecture, Engineering, Construction)
Manufacturing
Insurance
Hospitality
Government
Property Marketing
Facilities Management
Design & Construction
Role
What you would be doing
ml systems
data pipelines
model benchmarking
research prototypes
algorithm development
cross-functional collaboration
- Design, implement, and optimize robust and scalable ML systems and pipelines for processing large-scale 3D datasets, including point clouds, meshes, and images.
- Contribute to the architectural design and strategic roadmap of Matterport's ML systems and research initiatives.
- Evaluate and benchmark model performance, identify areas for improvement, and drive iterative enhancements to our ML capabilities.
- Collaborate with cross-functional teams including product managers, software engineers, and other researchers to define project requirements, explore technical feasibility, and deliver high-impact features.
- Translate research prototypes into production-ready solutions, collaborating closely with engineering teams to integrate ML models into Matterport's core platform.
- Contribute to the intellectual property of Matterport through patents and publications.
- Stay up-to-date with the latest advancements in ML research and industry trends, and proactively identify opportunities to apply new techniques to Matterport's challenges.
- Conduct cutting-edge research in machine learning, computer vision, and 3D data processing to develop novel algorithms and models for spatial understanding and digital twin creation.
- Present research findings and technical solutions to internal teams and potentially the broader ML community.
What you bring
ph.d.
python
pytorch
aws
machine learning
computer vision
- Strong verbal and written communication skills.
- Excellent communication skills, both written and verbal, with the ability to articulate complex technical concepts to a diverse audience.
- Experience mentoring junior engineers or leading technical projects.
- Ph.D. or Masters Degree in Computer Science, Machine Learning, Robotics, Computer Vision, or a related quantitative field.
- Demonstrated expertise in one or more of the following areas: 3D computer vision (e.g., SLAM, NeRFs, 3D reconstruction, point cloud processing, mesh processing), generative models, 2D/3D semantic understanding, depth estimation, neural rendering.
- Proficiency in Pytorch and strong programming skills in Python.
- Experience with data manipulation and analysis libraries (e.g., NumPy, Pandas).
- Bachelor's Degree
- 5+ years of industry experience in applied machine learning research and development, particularly with shipping models to production.
- 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) or significant contributions to open-source projects.
- 3+ years of experience in machine learning research and development, with a strong focus on computer vision, 3D data processing, or related areas.
- 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.
- Solid understanding of machine learning fundamentals, including deep learning architectures (e.g., CNNs, Transformers), optimization techniques, and evaluation methodologies.
- Access to CoStar Group’s Culture Employee Resource Groups
- 401(K) retirement plan with matching contributions
- Life, legal, and supplementary insurance
- Employee stock purchase plan
- Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
- Commuter and parking benefits
- Paid time off
- On-site fitness center and/or reimbursed fitness center membership costs (location dependent)
- Tuition reimbursement
- Virtual and in person mental health counseling services for individuals and family
Information not given or found
Interview process
Information not given or found
Visa Sponsorship- costar group does not provide visa sponsorship for this position.
Information not given or found
Company
Overview
Founded 2011
Year Established
The company was established in 2011 by three innovators.
Acquired $1.6B
Acquisition Value
In 2025, the company was acquired by CoStar Group for approximately $1.6 billion, solidifying its role in AI-driven real estate technology.
Billions SQFT
Mapped Area
The company has successfully mapped over billions of square feet of indoor spaces globally.
150+ Countries
Global Presence
The company's services have been utilized across over 150 countries worldwide.
- It pioneered capture of indoor spaces into photorealistic 3D digital twins
- Its workflow blends cameras (Pro2, Pro3 or mobile) with AI‑powered cloud processing (Cortex) to stitch and host models
- Serving industries like engineering, construction, real estate, hospitality, facilities, and insurance, with broad global reach
- Its financial model blends hardware sales, subscription software, services, and licensing, with recurring‑revenue acceleration
- Known for unusual partnerships—from metaverse datasets with Facebook to integrations with AWS TwinMaker and apps enabling remote walkthrough meetings
- Innovation
- Passion
- User Happiness
- Teamwork
- Navigating Uncertainty
- Mission: To digitize and index the built world
- Vision: Transform the way people interact with the places they inhabit and explore
2050 Target
Net-zero commitment
Aims to achieve net-zero emissions by 2050.
20% Reduction
GHG emissions target
Plans to reduce Scope 1 and Scope 2 emissions by 20% by 2030.
756k CO₂e Avoided
CO₂ emissions saved
Customers have avoided an estimated 756,952 tonnes of CO₂e since 2021 through digital twins.
100% Recycling
E-waste management
All electronic waste was recycled in 2022.
- Transition to recyclable / renewable packaging for all Pro3 cameras by 2025
- Customers avoided ~382,640 tonnes CO₂e from over 2.5 million digital twins created in 2022
- Each digital twin avoids ~0.15 tCO₂e over its lifecycle (~444–451 miles driven)
- Pro3 camera supply-chain redesign reduced per-device emissions by 46% compared to Pro2
- Modular camera design now yields ~99% recoverable/reusable components
40% Female
Workforce Composition
Over 40% of employees identify as female in the company's full-time workforce.
- Gender parity among full‑time employees by 2030 goal
- Recognized as a 'Best Company for Women' by Comparably for empowering female employees.
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