Staff MLOps Engineer
Core
Design and evolve the machine learning and AI platform at the core of Turo's marketplace, enabling pricing, risk, fraud, search, and recommendation systems.
Role type
Senior MLOps Engineer
Builds
High-performance ML pipelines, optimized infrastructure for large-scale model training, tuning, and serving, and batch/real-time processing systems.
Domain
Ride-sharing marketplace, data-driven pricing, risk, and fraud management
Deliverable
production ML models
Required skills
Python, ML pipeline development, infrastructure scaling, Infrastructure-as-Code (IaC), Kubernetes, Airflow, distributed systems, statistical methods, machine learning algorithms
Preferred skills
Java, Kotlin
Technologies
Ray, MLFlow, Airflow, Docker, Kubernetes, Terraform
Responsibilities
Collaborate with Data Science and ML Engineering teams to build and maintain ML pipelines; Develop optimized infrastructure for model training and serving; Select and integrate tools for the ML lifecycle; Improve batch and real-time processing systems; Mentor and support the team.
Seniority
Senior, hands-on IC