What are the responsibilities and job description for the Machine Learning Performance Engineer position at GQR Global Markets?
Job Title : Machine Learning Performance EngineerLocation : Austin, Texas or New York, New YorkJob Description : We are seeking a Machine Learning Performance Engineer to join our team, focusing on a pivotal AI initiative. This role offers the opportunity to significantly impact Machine Learning infrastructure, training, and inference challenges to advance futures trading strategies.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.Discipline(s) : TechnologyDuration : PermanentJob type : Permanent
