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    Machine Learning Research Engineer - Chicago, United States - Selby Jennings

    Selby Jennings background
    Accounting / Finance
    Description

    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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