About this opportunity
Visual Lease lists this Matterport - Senior ML Ops Engineer opportunity in sunnyvale, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Matterport - Senior ML Ops Engineer
Matterport, a part of CoStar Group, is leading the digital transformation of the built world with its spatial computing platform.
About the Role
As a Senior MLOps Engineer at Matterport, you will be pivotal in enhancing the performance, efficiency, and scalability of our machine learning models. You will work closely with ML R&D Engineers and other teams to analyze model performance, optimize inference speed, and ensure seamless integration into our platform.
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, 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.
Basic Qualifications
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 Qualifications
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.
Perks & 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 Employee Resource Groups
Complimentary in office gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks
Location: Sunnyvale, CA. Work schedule: 4 days on-site and 1 day remote.
This position offers an annual base salary pay range from $173,000 - $253,000 determined by relevant skills and experience, in addition to uncapped commission opportunities and a generous benefits plan.
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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Worksite address
sunnyvale, CA, 94087, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.