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Machine Learning Systems Engineer
Summary by AIEngineer.careers
Machine Learning Systems Engineer is a AI Infrastructure Engineer role (full-time). with PyTorch. in REMOTE, WORLDWIDE. Compensation shown: $144K–$192K (est.). Imported listing (source: hiresub.infinityfree.me). Apply on the employer's site (hiresub.infinityfree.me).
Imported listing (source: hiresub.infinityfree.me) · Apply on hiresub.infinityfree.me
REMOTE · WORLDWIDE
$144K–$192K (est.)
Full-time
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from hiresub.infinityfree.me
Motional seeks a Machine Learning Systems Engineer to join its ML Acceleration team, focusing on high-performance systems for training frontier models at scale. The role involves profiling and optimizing distributed training, developing GPU kernels in CUDA/Triton, and building efficient data pipelines.
Responsibilities
- Performance profiling and optimization to identify bottlenecks in data loading, gradient computation, and communication
- Optimize distributed training pipelines using frameworks such as PyTorch Distributed
- Design and maintain high-performance GPU kernels in Triton or CUDA
- Develop robust data loading pipelines to maximize training throughput
Requirements
- Bachelor’s, Master’s degree, or PhD in Computer Science, Computer Engineering, or related field
- Strong proficiency in Python
- Extensive hands-on experience with PyTorch
- Experience optimizing ML model execution during training and inference
- Strong understanding of machine learning concepts, architectures, and processes
- Exceptional analytical and problem-solving skills
Benefits
PyTorch
San Francisco · US · 40+ employees
PyTorch is an open-source deep learning framework originally developed by Meta and now governed by the PyTorch Foundation, a subsidiary of the Linux Foundation. It provides a comprehensive library for research and production-grade machine learning and artificial intelligence applications.
