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Machine Learning Performance Engineer

2 months ago

Austin, Texas, United States GQR Global Markets Full time
Machine Learning Performance Engineer

We are seeking a highly skilled Machine Learning Performance Engineer to join our team at GQR Global Markets. This role offers the opportunity to significantly impact Machine Learning infrastructure, training, and inference challenges to advance futures trading strategies.

Key Responsibilities:
  • Build scalable and robust training and inference pipelines for deep learning.
  • Enhance the functionality of open-source deep learning frameworks.
  • Identify and eliminate performance bottlenecks.
  • Collaborate closely with researchers and other engineers.
  • Develop an in-depth understanding of trading systems.
Qualifications:
  • Expertise in the internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc.
  • Deep understanding of computer architecture.
  • Experience programming in C++ and Python.
Preferred Qualifications:
  • Experience with the JAX ecosystem (XLA, Flax, etc.).
  • Experience in programming for GPUs or other accelerators (CUDA, Triton, Pallas, etc.).
  • Linux system programming experience.
  • Experience with large-scale distributed training.
  • Contributions to open-source projects related to data science and machine learning.
Benefits:
  • Work alongside best-in-class professionals from over 40 different countries.
  • Performance-based bonus structure that is unmatched in the industry, fostering a truly collaborative environment.
  • Ownership over initiatives that directly solve business problems.
  • An ideal location in a vibrant city with a strong focus on innovation and a high quality of life.