Senior Ml Infrastructure Engineer - Embodied Ai Scaling Foundations
General Motors
Multiple Locations
Base: $153,200.00 to $234,100.00; bonus/equity: an...
Hybrid
Large-scale distributed systems
Mlops practices
Containerization and orchestration technologies
Build critical infrastructure that powers every machine learning engineer working on cutting-edge Autonomous Driving models
Job Summary
Build critical infrastructure that powers every machine learning engineer working on cutting-edge Autonomous Driving models.
Lead the design, implementation, and deployment of scalable platforms and tools that drive machine learning model training and evaluation workflows across GM.
Your success will be measured by the success of our partner teams who rely on our robust systems to build the world's most advanced driverless vehicles.
Matching Summary
Build critical infrastructure that powers every machine learning engineer working on cutting-edge Autonomous Driving models.
Salary
Base: $153,200.00 to $234,100.00; Bonus/Equity: An incentive pay program offers payouts based on company performance, job level, and individual performance; Benefits: GM offers a variety of health and wellbeing benefit programs.
Skills & Requirements
Must-have
Large-scale distributed systems
MLOps practices
Containerization and orchestration technologies
Python or C++ coding skills
Machine learning algorithms
Cloud infrastructure expertise
Nice-to-have
Self-driving technology passion
Distributed training methodologies
Model training performance optimization
Deep learning frameworks
Advanced build systems
Key Requirements
3+ years of experience
BS, MS, or PhD in Computer Science, Math, or equivalent practical experience