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

    Selby Jennings background
    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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