Senior Ml Infrastructure Engineer - Embodied Ai Scaling Foundations
General Motors
Base: $153,200.00 to $234,100.00; bonus: incentive...
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3+ years building large-scale distributed systems
Expertise in python or c++ coding
Hands-on experience with docker and kubernetes
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General Motors is looking for a Senior ML Infrastructure Engineer to join their Embodied AI Infra Foundation team, focusing on building critical infrastructure for autonomous driving technology. The ideal candidate should have a strong background in machine learning systems, distributed applications, and cloud infrastructure, along with a passion for self-driving technology.
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Job Summary
The role focuses on building critical infrastructure that powers machine learning engineers working on cutting-edge Autonomous Driving models.
Success is measured by the ability to dramatically accelerate the machine learning development cycle for partner teams.
General Motors offers a variety of health benefits, retirement savings plans, and employee vehicle discounts as part of the compensation package.
Matching Summary
Match Score: 75
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General Motors is looking for a Senior ML Infrastructure Engineer to join their Embodied AI Infra Foundation team, focusing on building critical infrastructure for autonomous driving technology. The ideal candidate should have a strong background in machine learning systems, distributed applications, and cloud infrastructure, along with a passion for self-driving technology.
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Salary
Base: $153,200.00 to $234,100.00; Bonus: Incentive pay program based on company and individual performance; Benefits: Medical, dental, vision, retirement savings plan, tuition assistance, GM vehicle discounts
Skills & Requirements
Must-have
3+ years building large-scale distributed systems
Expertise in Python or C++ coding
Hands-on experience with Docker and Kubernetes
Deep understanding of machine learning algorithms
Experience with MLOps practices and lifecycle
Nice-to-have
Experience with distributed training methodologies
Background in optimizing model training performance
Familiarity with PyTorch or TensorFlow frameworks
Strong grasp of performance profiling techniques
Passion for self-driving technology
Key Requirements
BS, MS, or PhD in Computer Science, Math, or equivalent practical experience
3+ years of experience in distributed systems or advanced ML applications
Proven track record of building robust frameworks with high-quality APIs