Senior ML Ops Engineer (Machine Learning Infrastructure)

What this role involves

Parallel Systems is seeking a Senior ML Ops Engineer to lead the design and development of scalable systems for autonomy and perception pipelines in autonomous battery-electric rail vehicles. The role involves building and operating cloud-based ML infrastructure, automating pipelines, and collaborating with ML engineers. This is a hybrid position requiring at least one week per month onsite in Los Angeles.

Skills this posting asks for

• mlops
• machine learning infrastructure
• distributed training
• experiment tracking
• deployment
• monitoring
• aws
• gcp
• cloud
• automation
• data management
• model training
• model evaluation
• ci/cd
• perception systems
• autonomy
• robotics

Requirements

• Level: senior
• Remote policy: hybrid

From the employer’s posting

Parallel Systems is pioneering autonomous battery-electric rail vehicles designed to transform freight transportation by shifting portions of the $900 billion U.S. trucking industry onto rail. Our innovative technology offers cleaner, safer, and more efficient logistic…