Matterport - Senior ML Ops Engineer
CoStar Group5 months ago
Base Salary
$173k - $253k/yr
Responsibilities
- Analyze and profile machine learning models to identify performance bottlenecks and optimization opportunities.
- Apply quantization, pruning, distillation, neural architecture search, and other optimization techniques.
- Develop and integrate specialized libraries and tools for efficient model execution on GPUs, CPUs, and edge devices.
- Collaborate with ML R&D Engineers on model architectures, training procedures, and deployment requirements.
- Design experiments measuring the effects of optimization on model performance and accuracy.
- Automate model optimization workflows and build CI/CD pipelines for optimized models.
- Contribute to MLOps infrastructure for model deployment and monitoring.
- Ensure optimized models are scalable, reliable, and effective in production environments.
- Track research and industry trends in model optimization, hardware acceleration, and efficient AI.
Requirements
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related quantitative field, or equivalent practical experience.
- At least 3 years of machine learning engineering experience focused on model optimization and deployment.
- Proficiency in Python and strong programming skills.
- Experience with machine learning frameworks such as TensorFlow and PyTorch, plus optimization libraries.
- Understanding of machine learning algorithms, model architectures, and deep learning concepts.
- Experience with AWS, Azure, or GCP and deploying ML models in cloud environments.
- Familiarity with Git and agile development methodologies.
- Strong problem-solving, attention to detail, and written and verbal communication skills.
- Preferred: Master's degree in Computer Science, Data Science, or a related quantitative field.
- Preferred: 5+ years of experience in ML model optimization, ML engineering, or MLOps, particularly with large-scale 2D/3D computer vision models.
- Preferred: Experience with hardware-aware optimization, edge-device deployment, model compression, workflow orchestration, containerization, and automated ML deployment pipelines.
- Preferred: Experience with Temporal, Airflow, Kubeflow, Docker, and Kubernetes.
Benefits
- Comprehensive medical, vision, dental, prescription drug, life, legal, and supplementary insurance.
- Virtual and in-person mental health counseling for individuals and families.
- Commuter and parking benefits.
- 401(k) retirement plan with matching contributions.
- Employee stock purchase plan and paid time off.
- Tuition reimbursement, internal training, and professional and academic growth support.
- Access to employee resource groups.
- Complimentary office coffee, tea, hot chocolate, fresh fruit, and healthy snacks.
- Sunnyvale, CA position with four days on-site and one day working from home.
- Equal employment opportunity, drug-free workplace, and pre-employment substance abuse testing.
Tech Stack
Categories
About CoStar Group
CoStar Group builds subscription databases, analytics, and online marketplaces for commercial and residential real estate professionals, investors, and advertisers. Its portfolio includes CoStar (research and data), LoopNet (commercial listings), and Apartments.com (rental listings), generating revenue from subscriptions, listings, and advertising. The company is publicly traded on NASDAQ (CSGP) and is headquartered in Arlington, Virginia, with inclusion in the S&P 500 index.