CoStar Group Logo

CoStar Group

Matterport - Senior Machine Learning R&D Engineer

Reposted 4 Days Ago
Be an Early Applicant
In-Office
Sunnyvale, CA, USA
270K-334K Annually
Senior level
In-Office
Sunnyvale, CA, USA
270K-334K Annually
Senior level
The Senior Machine Learning R&D Engineer will innovate in spatial computing, develop ML algorithms, process 3D data, and collaborate with teams to enhance Matterport's platform.
The summary above was generated by AI
Matterport - Senior Machine Learning R&D Engineer


Job Description


CoStar Group 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 at Matterport, a part of CoStar Group, you will be at the forefront of innovating and advancing our spatial computing platform. You will play a critical role in researching, designing, and implementing cutting-edge machine learning algorithms and models that enhance our ability to digitize the built world, transform physical spaces into rich digital twins, extract valuable insights from them, and create delightful user experiences that make it easy for our customers to modify and interact with their digital twins. This role requires a deep understanding of ML principles, a passion for solving complex real-world problems in 3D data, computer vision, and a desire to contribute to a product that is revolutionizing how people interact with and understand real estate. You will work within a dynamic R&D environment, collaborating closely with fellow engineers, researchers, and product teams to translate groundbreaking ideas into tangible features that empower our users and expand the capabilities of our platform.

Responsibilities:

  • 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.

  • Design, implement, and optimize robust and scalable ML systems and pipelines for processing large-scale 3D datasets, including point clouds, meshes, and images.

  • Translate research prototypes into production-ready solutions, collaborating closely with engineering teams to integrate ML models into Matterport's core platform.

  • Evaluate and benchmark model performance, identify areas for improvement, and drive iterative enhancements to our ML capabilities.

  • 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.

  • 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.

  • Present research findings and technical solutions to internal teams and potentially the broader ML community.

  • Contribute to the architectural design and strategic roadmap of Matterport's ML systems and research initiatives.

  • Contribute to the intellectual property of Matterport through patents and publications.

Basic Qualifications:

  • Bachelor’s Degree required from an accredited, not for profit 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, or related areas.

  • Proficiency in Pytorch and strong programming skills in Python.

  • Solid understanding of machine learning fundamentals, including deep learning architectures (e.g., CNNs, Transformers), 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 & Skills:

  • Ph.D. or Masters Degree in Computer Science, Computer Vision, Machine Learning, Robotics, or a related quantitative field.

  • 5+ years of industry experience in applied machine learning research and development, particularly with shipping models to production.

  • Demonstrated expertise in one or more of the following areas: neural rendering (e.g., Gaussian splatting, NeRFs, large reconstruction models, world models), 3D computer vision (e.g., SLAM, 3D reconstruction, point cloud processing, mesh processing), image/video generation models, 2D/3D semantic understanding, depth estimation.

  • 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, SIGGRAPH) or significant contributions to open-source projects.

  • 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.

Perks & Benefits:

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 Culture Employee Resource Groups

This position offers an annual pay range from $270,000 - $334,000 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 San Francisco, California, USA Office

101 California St, San Francisco, CA, United States, 94111

Similar Jobs

A Minute Ago
Hybrid
San Francisco, CA, USA
160K-250K Annually
Senior level
160K-250K Annually
Senior level
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Lead product security and incident response efforts: design and deploy security controls, hunt and investigate threats using endpoint/network/cloud telemetry, build detections and workflows, perform forensics, and partner with engineering to remediate vulnerabilities and improve secure design.
Top Skills: Alibaba CloudAuthentication SystemsCi/CdCloud VpnEdrEndpoint ToolsFirewallsGCPGoogle SuiteJavaKotlinKubernetesNetwork Traffic LogsOktaPipelinesPythonSplunk
28 Minutes Ago
Remote or Hybrid
United States
42K-42K Annually
Entry level
42K-42K Annually
Entry level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The Customer Care Advocate guides customers through complex insurance-related inquiries, using AI tools to enhance service accuracy and efficiency while ensuring compliance and customer confidence.
Top Skills: Ai-Powered ToolsCustomer Relationship Management
28 Minutes Ago
Remote or Hybrid
United States
107K-132K Annually
Senior level
107K-132K Annually
Senior level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Lead development and lifecycle management of supplemental health insurance products (Critical Illness, Cancer, Accident, Hospital Indemnity). Drive market research, competitive analysis, go-to-market plans, and cross-functional launches working with Pricing, Contracts, Operations, Technology, Training, and Sales to deliver product strategy and execution.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account