Base: $189,300.00 to $290,700.00; bonus/equity: in...
Hybrid
Large-scale distributed systems
Ml systems
Mlops practices
Drive the development of core systems that enable rapid dataset generation, training, evaluation, and iteration of our most advanced Autonomous Driving models
Job Summary
Drive the development of core systems that enable rapid dataset generation, training, evaluation, and iteration of our most advanced 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.
GM offers a variety of health and wellbeing benefit programs, including medical, dental, vision, retirement savings plan, and more.
Matching Summary
Drive the development of core systems that enable rapid dataset generation, training, evaluation, and iteration of our most advanced Autonomous Driving models.
Salary
Base: $189,300.00 to $290,700.00; Bonus/Equity: Incentive pay program; Benefits: Health and wellbeing benefit programs
Skills & Requirements
Must-have
large-scale distributed systems
ML systems
MLOps practices
Python or C++
cloud infrastructure
Nice-to-have
distributed training methodologies
deep learning frameworks
performance profiling
advanced build systems
containerization and orchestration
Key Requirements
5+ years of experience
BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience