Matterport - Senior ML Ops Engineer
Core
Optimizing machine learning model performance, inference speed, and resource utilization for Matterport's spatial computing platform.
Role type
Senior MLOps Engineer (Model Optimization & Deployment)
Builds
Efficient ML models deployed on GPUs, CPUs, and edge devices for spatial computing applications.
Domain
Real Estate Technology / Spatial Computing / Machine Learning
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, model quantization, pruning, distillation, neural architecture search, cloud platforms (AWS/Azure/GCP), CI/CD pipelines, hardware acceleration
Preferred skills
2D/3D computer vision, workflow orchestration (Temporal/Airflow/Kubeflow), containerization (Docker/Kubernetes), large-scale model deployment
Technologies
TensorFlow, PyTorch, AWS, Azure, GCP, Docker, Kubernetes, Temporal, Airflow, Kubeflow
Responsibilities
Profile ML models to identify bottlenecks, implement optimization techniques, develop specialized execution libraries, collaborate on model architectures, design performance experiments, automate optimization workflows, ensure production scalability
Seniority
Senior, hands-on IC