Senior Machine Learning Engineer - ML Training Infrastructure
Core
Designing and building scalable, reliable, high-performance AI/ML platform infrastructure to support advanced AI research and model development for intelligent driving technologies.
Role type
Senior Machine Learning Engineer (ML Training Infrastructure)
Builds
Scalable ML frameworks and distributed training workflows for large foundational models
Domain
Automotive / AI Infrastructure
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, distributed computing, GPU computing, cloud environments (AWS, GCP, Azure), system observability, performance optimization
Preferred skills
PyTorch 2.x+, FSDP, Pipeline Parallelism, profiling, data loading optimization
Technologies
PyTorch, TensorFlow, AWS, GCP, Azure
Responsibilities
Design and develop scalable ML frameworks for model training; Analyze and optimize model training performance across heterogeneous hardware; Improve system observability and operational excellence; Collaborate on integrating new features and technologies into the platform
Seniority
Senior, hands-on IC
