Senior MLOps Engineer: Fast, Scalable ML Deployments

Aimlroles; Sunnyvale (CA); Hybrid; USD 173,000 - 253,000; Full time

Benefits offered by this job

Healthcare coverage

401(k) with matching

Employee stock purchase plan

Tuition reimbursement

In-office gourmet coffee

Job summary

Matterport, a part of CoStar Group, seeks a Senior MLOps Engineer in Sunnyvale, CA to optimize, deploy, and monitor machine learning models at scale. You will profile models, implement quantization, pruning, and distillation, and build efficient pipelines for production deployment.

Required are strong Python skills, experience with TensorFlow or PyTorch, and cloud experience (AWS/Azure/GCP). The role supports a 4-on-site, 1-day-remote schedule in a fast-paced R&D environment.

Qualifications

• Bachelor's degree or equivalent in CS, data science, engineering, or related field.
• 3+ years of ML engineering experience, focusing on optimization and deployment.
• Proficiency in Python and modern ML frameworks.
• Experience with AWS, Azure, or GCP and deploying models in cloud.
• Familiarity with Git and agile development.
• Excellent problem-solving and communication skills.

Responsibilities

• Profile ML models to identify bottlenecks and optimization opportunities.
• Apply quantization, pruning, distillation, and NAS for speed and efficiency.
• Develop libraries for efficient model execution on GPUs, CPUs, edge devices.
• Collaborate with ML R&D Engineers on architectures and deployment.
• Design experiments to measure impact of optimizations.
• Automate ML optimization workflows and CI/CD pipelines.
• Stay current with ML optimization and hardware acceleration trends.
• Improve MLOps practices and deployment monitoring.
• Ensure scalability and reliability of production models.

Skills

Python

Machine Learning

TensorFlow

PyTorch

Cloud platforms

Git

Agile

Communication

Education

Bachelor's degree in CS/DS/Engineering

Master's degree in CS/DS/Engineering

Tools

Docker

Kubernetes

Temporal

Airflow

Kubeflow

Job description

Matterport, a part of CoStar Group, seeks a Senior MLOps Engineer in Sunnyvale, CA to optimize, deploy, and monitor machine learning models at scale. You will profile models, implement quantization, pruning, and distillation, and build efficient pipelines for production deployment.

Required are strong Python skills, experience with TensorFlow or PyTorch, and cloud experience (AWS/Azure/GCP). The role supports a 4-on-site, 1-day-remote schedule in a fast-paced R&D environment.