Matterport - Senior ML/CV Engineer - Computational Photography & Image Processing

• Posted 30+ days ago • Updated 8 hours ago
Full Time
On-site
USD $190,000.00 - 253,000.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Analysis
  • Value Engineering
  • Innovation
  • Documentation
  • Marketing
  • Pivotal
  • Collaboration
  • System Integration
  • Real-time
  • Texturing
  • Cloud Computing
  • Physics
  • Python
  • C++
  • Science
  • OpenCV
  • Machine Learning (ML)
  • PyTorch
  • TensorFlow
  • Version Control
  • Git
  • Agile
  • Conflict Resolution
  • Problem Solving
  • Debugging
  • Communication
  • Computer Science
  • Photography
  • Algorithms
  • Smartphones
  • Computer Hardware
  • Electrical Engineering
  • Sensors
  • 3D Computer Graphics
  • Computer Vision
  • Photogrammetry
  • Deep Learning
  • Image Processing
  • ISP
  • Performance Tuning
  • Embedded Systems
  • CUDA
  • Research
  • Training
  • Health Care
  • Legal
  • Insurance
  • Testing

Summary

Matterport - Senior ML/CV Engineer - Computational Photography & Image Processing

Job Description

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 and the NASDAQ 100, 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.

About the Role

As a Senior CV/ML Engineer on our Vision & Learning team, you will be at the forefront of developing the next generation of our 3D capture technology. You will be a key link between capture devices and software teams, designing and implementing the core image processing algorithms that make our 3D reconstruction possible. You will collaborate closely with hardware engineers to define technical requirements for new capture hardware and sensors. Your work will involve designing and optimizing the entire image processing pipeline - from on-device capture corrections to sophisticated cloud-based enhancements - ensuring the highest possible image quality as the input to our reconstruction engine. This role is pivotal in improving the visual fidelity, accuracy, and robustness of the digital twins our users create.

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
  • Collaborate with hardware and optical engineering teams to define technical requirements for next-generation capture devices, focusing on sensor characteristics, image quality, and system integration.
  • Design, implement, and optimize robust, high-performance software for on-device (embedded) and cloud-based image processing pipelines.
  • Develop and improve computational photography algorithms for real-time capture, including (but not limited to) HDR imaging, auto-exposure, auto-white balance, noise reduction, and lens distortion correction.
  • Enhance and optimize image processing steps within the 3D reconstruction pipeline, such as stitching, color correction, and texture map generation.
  • Research and prototype novel image processing and computational photography techniques to enhance the quality, speed, and robustness of our 3D models.
  • Work closely with computer vision and deep learning engineers to ensure your image processing outputs are optimized for downstream tasks (e.g., SLAM, neural rendering, photogrammetry).
  • Profile, debug, and optimize image processing algorithms for various hardware platforms, including embedded systems and cloud GPUs.
  • Write high-quality, well-tested, and maintainable C++ and Python code.


Basic Qualifications
  • Bachelor's degree in Computer Science, Electrical Engineering, Physics, or a related quantitative field, or equivalent practical experience.
  • 3+ years of hands-on experience in image processing, computational photography, or computer vision.
  • Strong programming skills in Python and C++.
  • Deep understanding of classic image processing pipelines (ISP), color science, and optical principles.
  • Experience with computer vision libraries (e.g., OpenCV) and machine learning frameworks (e.g., PyTorch, TensorFlow).
  • 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 Science, Electrical Engineering, or a related field with a specialization in image processing, computer vision, or computational photography.
  • 5+ years of industry experience developing image processing algorithms for capture devices (e.g., cameras, smartphones, scanners).
  • Experience working closely with hardware or electrical engineering teams on camera systems or sensor integration.
  • Strong understanding of 3D computer vision, photogrammetry, and/or multi-view geometry.
  • Experience applying deep learning techniques to image processing problems (e.g., denoising, super-resolution, learned ISP).
  • Experience with performance optimization on embedded systems, GPUs (CUDA), or other accelerators.
  • Demonstrated ability to translate cutting-edge research into practical, robust software solutions.


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 counselling 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
  • Access to CoStar Group's Culture Employee Resource Groups
  • Complimentary in office gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks


This position offersa base salary range from $ 190,000 to $253,000 a year, 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10100023
  • Position Id: R38084
  • Posted 30+ days ago
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