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Matterport - Lead ML​/CV Engineer - Computational Photography & Image Processing

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: CoStar
Full Time position
Listed on 2026-05-13
Job specializations:
  • Engineering
    Computer Science
Salary/Wage Range or Industry Benchmark: 214000 - 292000 USD Yearly USD 214000.00 292000.00 YEAR
Job Description & How to Apply Below

Matterport - Lead ML/CV Engineer

Lead ML/CV Engineer with focus on Computational Photography & Image Processing. Role located in Sunnyvale, CA.

Work schedule:

4 days on‑site, 1 day remote.

Responsibilities
  • 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 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 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, Tensor Flow).
  • 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 relevant field with specialization in image processing, computer vision, or computational photography.
  • 5+ years of industry experience developing image‑processing algorithms for capture devices.
  • 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.
  • 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
  • Comprehensive healthcare coverage:
    Medical / Vision / Dental / Prescription Drug.
  • Life, legal, and supplementary insurance.
  • Virtual and in‑person mental health counselling services.
  • Commuter and parking benefits.
  • 401(K) retirement plan with matching contributions.
  • Employee stock purchase plan.
  • Paid time off.
  • Tuition reimbursement.
  • Access to employee resource groups.
  • Complimentary in‑office gourmet coffee, tea, hot chocolate, fresh fruit, and healthy snacks.
Compensation

Base salary range from $214,000 to $292,000 per year, determined by relevant skills and experience.

EEO Statement

CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug‑free workplace and perform pre‑employment substance abuse testing.

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