Machine Learning Research Engineer

2 weeks ago


Chicago, United States Selby Jennings Full time

Your Responsibilities:

  • Engage in groundbreaking research in deep learning for price forecasting.
  • Construct scalable and resilient training and inference pipelines for deep learning.
  • Delve into the inner workings of open-source deep learning frameworks to improve their functionality.
  • Collaborate closely with researchers and peers in engineering.
  • Cultivate a comprehensive understanding of trading systems.


Requirements:

  • PhD or equivalent industry experience in a machine learning-related field.
  • Proficiency in developing deep-learning models using PyTorch, JAX, or TensorFlow.
  • Experience in Python programming.
  • Experience in computationally intensive research with large datasets.


Preferred Qualifications:

  • Familiarity with the JAX ecosystem, including XLA, Flax, etc.
  • Proficiency in programming for GPUs or other accelerators such as CUDA, Triton, Pallas, etc.
  • Contributions to open-source projects in data science and machine learning.
  • Strong publication track record in conferences like NeurIPS, ICML, etc.
  • Expertise in the internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc.
  • Experience with large-scale distributed training.
  • Proficiency in C++ programming.



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