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Machine Learning Performance Engineer

2 months ago

Chicago, United States Selby Jennings Full time

Your Responsibilities:

  • Constructing scalable and resilient training and inference pipelines for deep learning.
  • Delving into the inner workings of open-source deep learning frameworks to enhance their capabilities.
  • Identifying and resolving performance bottlenecks.
  • Collaborating closely with researchers and fellow engineers.
  • Developing a comprehensive understanding of trading systems.

Requirements:

  • Proficiency in the inner workings of deep-learning frameworks such as PyTorch, JAX, TensorFlow, etc.
  • Thorough knowledge of computer architecture.
  • Proficiency in programming with C++ and Python.

Preferred Qualifications:

  • Experience with the JAX ecosystem, including XLA, Flax, etc.
  • Proficiency in programming for GPUs or other accelerators like CUDA, Triton, Pallas, etc.
  • Experience in Linux system programming.
  • Familiarity with large-scale distributed training.
  • Contributions to open-source projects in the realm of data science and machine learning.