Base: $189,300.00 to $290,700.00; bonus/equity: in...
Hybrid
5+ years building large-scale distributed systems
Expertise in python or c++ coding
Deep understanding of machine learning algorithms
The role involves leading the design and deployment of scalable platforms to accelerate the machine learning development cycle for autonomous driving models
Job Summary
The role involves leading the design and deployment of scalable platforms to accelerate the machine learning development cycle for autonomous driving models.
Candidates will mentor junior engineers, participate in technical interviewing, and drive architectural decisions for core ML systems.
General Motors offers a comprehensive benefits package including medical, dental, vision, retirement savings, and eligibility for a company vehicle program.
Matching Summary
The role involves leading the design and deployment of scalable platforms to accelerate the machine learning development cycle for autonomous driving models.
Salary
Base: $189,300.00 to $290,700.00; Bonus/Equity: Incentive pay program based on performance; Benefits: Medical, dental, vision, HSA, FSA, retirement plan, paid vacation, tuition assistance
Skills & Requirements
Must-have
5+ years building large-scale distributed systems
Expertise in Python or C++ coding
Deep understanding of machine learning algorithms
End-to-end ML development lifecycle experience
Proven track record designing robust frameworks
Nice-to-have
Experience with distributed training methodologies
Proficiency with containerization technologies like Docker
Familiarity with deep learning frameworks PyTorch TensorFlow
Experience scaling ML training across GPU clusters
Knowledge of advanced build systems Bazel Buck Blaze
Key Requirements
BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience
5+ years of experience in large-scale distributed systems