Machine Learning Engineer II - Autonomous Driving Training Infrastructure

May Mobility is seeking an ML Engineer to design and operate pipelines for autonomous driving ML models. You will be responsible for transitioning models from concept to commercial scale, architecting data and training pipelines, and maintaining data stores. This role requires proficiency in Python, C++, and PyTorch, with a minimum of 2 years of experience in ML infrastructure.

• Own the process to transition Autonomous Driving ML models from concept to commercial scale
• Architect and operate data, training and evaluation pipelines across cloud and cluster environments
• Design and maintain the data and metadata stores that back training and evaluation workflows
• Employ data and model parallelism training techniques for large data or model applications
• Architect and operate containerized/pipelined ML Training workloads
• Build and maintain CI/CD pipelines and infrastructure