Build Pipelines: Design and develop scalable and robust training and inference pipelines for deep learning models.
Enhance Frameworks: Dive into the internals of open-source deep learning frameworks (e.g., PyTorch, JAX, TensorFlow) and improve their functionality.
Optimize Performance: Identify and eliminate performance bottlenecks in machine learning systems, with a focus on high-performance tools and environments.
Collaborate: Work closely with researchers and engineers to solve performance challenges.
Understand Systems: Develop a comprehensive understanding of trading systems and their requirements.
Requirements & Skills:
Deep Learning Frameworks: Expertise in frameworks such as PyTorch, JAX, and TensorFlow.