CoStar Group · 5 months ago
Matterport - Senior ML Ops Engineer
Sunnyvale, California, United States of America
Full-time
Onsite
Mid, Senior Level
$173K/yr - $213K/yr
3+ years expCoStar Group is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. As a Senior MLOps Engineer at Matterport, you will enhance the performance and scalability of machine learning models, applying optimization techniques and deploying efficient models into production while collaborating with engineering teams.
AnalyticsCommercial Real EstateReal Estate
Responsibilities
Analyze and profile machine learning models to identify performance bottlenecks and areas for optimization
Implement and apply model optimization techniques such as quantization, pruning, distillation, and neural architecture search to improve inference speed and reduce resource consumption
Develop and integrate specialized libraries and tools for efficient model execution on various hardware platforms (e.g., GPUs, CPUs, edge devices)
Collaborate with ML R&D Engineers to understand model architectures, training procedures, and deployment requirements
Design and conduct experiments to measure the impact of optimization techniques on model performance and accuracy
Automate model optimization workflows and build robust continuous integration/continuous deployment (CI/CD) pipelines for optimized models
Stay up-to-date with the latest research and industry trends in ML model optimization, hardware acceleration, and efficient AI
Contribute to the continuous improvement of MLOps practices and infrastructure for model deployment and monitoring
Ensure the scalability and reliability of optimized models in production environments
Qualification
Required
Bachelor's degree in Computer Science, Data Science, Engineering, or a related quantitative field, or equivalent practical experience
3+ years of experience in machine learning engineering, with a focus on model optimization and deployment
Proficiency in Python and strong programming skills
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and optimization libraries
Solid understanding of machine learning algorithms, model architectures, and deep learning concepts
Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments
Familiarity with version control systems (e.g., Git) and agile development methodologies
Excellent problem-solving skills and attention to detail, particularly in model performance and accuracy
Strong verbal and written communication skills
Preferred
Master's degree in Computer Science, Data Science, or a related quantitative field
5+ years of industry experience in ML Model Optimization, ML Engineering, or MLOps, particularly with large-scale 2D/3D computer vision models
Experience with hardware-aware model optimization and deployment to edge devices
Knowledge of model compression techniques and their practical application
Experience with workflow orchestration tools (e.g. Temporal, Airflow, Kubeflow)
Familiarity with containerization technologies (e.g., Docker, Kubernetes)
Demonstrated ability to build and maintain robust, scalable, and automated ML model deployment pipelines
Experience working in a fast-paced R&D environment
Excellent communication skills, both written and verbal, with the ability to articulate complex technical concepts to diverse audiences
Benefits
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
Access to CoStar Group’s Culture Employee Resource Groups
Complimentary in office gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks
Company
CoStar Group
CoStar Group (NASDAQ: CSGP) is the provider of commercial real estate information, analytics and marketing services.
5001-10000 employees
Funding
Current Stage
Public CompanyTotal Funding
unknown1998-07-01IPO
Leadership Team
Andy Florance
Founder and Chief Executive Officer
Chris Lown
Chief Financial Officer
Recent News
2026-01-22
bloomberglaw.com
2026-01-16
Company data provided by crunchbase