Machine Learning Research Engineer

4 weeks ago


Houston, 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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