Matterport - Senior ML Ops Engineer
AI summary of the role
Matterport (CoStar Group) seeks a Senior ML Ops Engineer to optimize and deploy machine learning models for their spatial computing platform.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Analyze and profile ML models to identify performance bottlenecks and optimization opportunities.
- Implement optimization techniques such as quantization, pruning, distillation, and neural architecture search.
- Develop and integrate specialized libraries for efficient model execution on GPUs, CPUs, and edge devices.
- Automate model optimization workflows and build robust CI/CD pipelines for optimized models.
What you’ll bring
- Bachelor's degree in Computer Science, Data Science, Engineering, or related quantitative field (or equivalent experience).
- 3+ years of experience in machine learning engineering with focus on model optimization and deployment.
- Proficiency in Python and experience with ML frameworks (TensorFlow, PyTorch) and optimization libraries.
- Experience with cloud platforms (AWS, Azure, GCP) and deploying ML models in cloud environments.
Technologies
Python · TensorFlow · PyTorch · AWS · Azure · GCP · Git · Docker · Kubernetes · Temporal · Airflow · Kubeflow
About CoStar Group
CoStar runs the authoritative commercial real estate database plus residential and CRE marketplaces (LoopNet, Apartments.com, Homes.com, Ten-X), selling subscription data and marketing to brokers, owners, and investors.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
optimization techniques, and deploying highly efficient models into production. You will work closely with ML R&D Engineers and other engineering teams to analyze model performance, optimize inference speed and resource utilization, and ensure the seamless integration of optimized models into our spatial computing platform. This role requires a strong understanding of machine learning principles, expertise in model optimization techniques, and a passion for pushing the boundaries of what's possible with efficient ML deployment. You will contribute to a product that is revolutionizing how people interact with and understand real estate by ensuring our models are robust, fast, and deliver exceptional user experiences. This position is located in Sunnyvale, CA and offers a schedule of 4 days on-site and 1 day work from home. What you will do: Analyze and profile machine learning models
More from the job description
Matterport - Senior ML Ops 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 ever [... source excerpt omitted ...] fecycle from planning, construction, and operations to documentation, appraisal, and marketing. About the Role: As a Senior MLOps Engineer at Matterport, a part of CoStar Group, you will be pivotal in enhancing the performance, efficiency, and scalability of our machine learning models. You will be responsible for identifying bottlenecks, applying advanced optimization techniques, and deploying highly efficient models into production. You will work closely with ML R&D Engineers and other engineering teams to analyze model performance, optimize inference speed and resource utilization, and ensure the seamless integration of optimized models into our spatial computing platform. T [... source excerpt omitted ...] understanding of machine learning principles, expertise in model optimization techniques, and a passion for pushing the boundaries of what's possible with efficient ML deployment. You will contribute to a product that is revolutionizing how people interact with and understand real estate by ensuring our models are robust, fast, and deliver exceptional user experiences. This position is located in Sunnyvale, CA and offers a schedule of 4 days on-site and 1 day work from home. What you will do: Analyze and profile machine learning models to identify performance bottlenecks and areas for optimization. Implement and apply model optimization techniques such as quantization, prunin
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