Machine Learning Engineer

1 month ago


Chicago, United States Selby Jennings Full time

Responsibilities:

  • Design and implement scalable, robust training and inference pipelines for deep learning.
  • Delve into the core of open-source deep learning frameworks and enhance their capabilities.
  • Identify and resolve performance bottlenecks.
  • Work closely with researchers and engineers to collaborate on projects.
  • Gain a deep understanding of trading systems.

Requirements:

  • Proficiency in the internals of deep learning frameworks such as PyTorch, JAX, TensorFlow, etc.
  • Strong knowledge of computer architecture.
  • Programming experience in C++ and Python.

Preferred Qualifications:

  • Familiarity with the JAX ecosystem (e.g., XLA, Flax).
  • Experience in programming for GPUs or other accelerators (e.g., CUDA, Triton, Pallas).
  • Linux system programming experience.
  • Experience with large-scale distributed training.
  • Contributions to open-source projects in data science and machine learning.

Benefits:

  • Collaborate with top-tier professionals from over 40 countries.
  • Enjoy a performance-based bonus structure that’s unparalleled in the industry. Our global profit-sharing model fosters a highly collaborative work environment.
  • Take ownership of initiatives that address critical business challenges.
  • Additional perks include 25 paid vacation days, market holidays, comprehensive health insurance, daily meals, training opportunities, 401(k) matching up to 50%, charitable match programs, regular social events, and much more.


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