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High Performance Machine Learning Engineer

2 months ago


Chicago, Illinois, United States Selby Jennings Full time
About the Role

Selby Jennings is partnering with a leading technology-driven high-frequency trading firm to find exceptional talent to advance their Artificial Intelligence and Machine Learning initiatives.

This is an exciting opportunity to join a dynamic team and make a significant impact on the company's machine learning infrastructure, addressing training and inference challenges to enhance their trading strategies.

Key Responsibilities
  • Design and Develop Scalable Pipelines: Create efficient and robust training and inference pipelines for deep learning models.
  • Enhance Deep Learning 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 with Researchers and Engineers: Work closely with researchers and engineers to solve performance challenges.
  • Understand Trading Systems: Develop a comprehensive understanding of trading systems and their requirements.
Technical Skills Required
  • Deep Learning Frameworks: Expertise in frameworks such as PyTorch, JAX, TensorFlow.
  • High-Performance Tools: Strong experience with CPUs, GPUs, CUDA, and/or JAX ecosystem tools (e.g., XLA, Flax).
  • Programming Skills: Proficiency in C++ and Python.
  • Computer Architecture: In-depth knowledge of computer architecture principles.
Nice-to-Have Skills
  • Linux Systems: Experience with Linux system programming.
  • Distributed Training: Familiarity with large-scale distributed training systems.
  • Open Source Contributions: Contributions to open-source projects related to data science and machine learning.
About the Company

Selby Jennings is a leading recruitment agency specializing in technology and finance. We are committed to providing exceptional service and expertise to our clients and candidates.

We offer a collaborative environment, performance-based bonuses, and a range of benefits, including fully paid health insurance, daily breakfast and lunch, and training opportunities.