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Machine Learning Systems Engineer

Motional
Location
Pittsburgh, Pennsylvania, United States
Posted
12 days ago
Department
Infrastructure
What they actually want (must-haves)
  • Bachelor’s, Master’s degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline
  • Strong proficiency in Python
  • Extensive hands-on experience with PyTorch
  • Experience optimizing machine learning model execution during training and inference
  • Strong understanding of fundamental machine learning concepts, architectures, and processes
  • Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges
What the job really is

As a Machine Learning Systems Engineer on the ML Acceleration team, you will focus on optimizing systems for training large-scale machine learning models. Your responsibilities will include performance profiling, optimizing distributed training pipelines, developing high-performance GPU kernels, and engineering robust data loading pipelines. This role combines machine learning research with high-performance systems engineering to enhance model training efficiency.

Benefits
  • medical
  • dental
  • vision
  • 401k with a company match
  • health saving accounts
  • life insurance
Things to weigh
  • Salary range provided is an estimate and may vary based on various factors
  • Role can be hybrid or fully remote, which may appeal to some candidates but could also imply less in-person collaboration
  • The company is focused on scaling technology rather than starting up, which may influence the work environment and pace
Job score3.8/5
Benefits4/5
Freshness5/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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