Machine Learning Performance Engineer

4 weeks ago


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

Job Overview:
GQR Global Markets is seeking a highly skilled Machine Learning Performance Engineer to join our team. As a key member of our AI initiative, you will focus on developing and optimizing machine learning infrastructure, training, and inference pipelines to advance our futures trading strategies.

Key Responsibilities:
Design and implement scalable and robust training and inference pipelines for deep learning models. Collaborate with researchers and engineers to enhance the functionality of open-source deep learning frameworks. Identify and eliminate performance bottlenecks in our trading systems. Develop a deep understanding of computer architecture and its impact on machine learning performance. Work closely with our team to develop and maintain large-scale distributed training systems.

Requirements:
Expertise in the internals of deep-learning frameworks like PyTorch, JAX, and TensorFlow. Strong understanding of computer architecture and its impact on machine learning performance. Experience programming in C++ and Python. Familiarity with Linux system programming and large-scale distributed training systems. Experience with the JAX ecosystem and programming for GPUs or other accelerators is a plus.

What We Offer:
Work alongside a diverse team of best-in-class professionals from around the world. A performance-based bonus structure that fosters a collaborative environment. Ownership over initiatives that directly solve business problems. A vibrant work environment in a city with a strong focus on innovation and a high quality of life.

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