Machine Learning Performance Optimization Specialist

1 month ago


Hong Kong, Central and Western District, Hong Kong SAR China Jane Street Full time
Unlock the Potential of Machine Learning at Jane Street

We're on the hunt for a skilled engineer to join our dynamic ML team. As a critical pillar of our global business, machine learning requires a unique blend of innovation and expertise. Our trading environment serves as a rapid-feedback platform for experimentation, allowing us to incorporate new ideas with minimal friction.

Your mission will be to optimize the performance of our models – both training and inference. This involves efficient large-scale training, low-latency inference in real-time systems, and high-throughput inference in research. You'll need to consider storage systems, networking, and host- and GPU-level considerations to ensure our platform is optimized for maximum performance.

We're looking for someone with a curious mind and a passion for solving complex problems. If you have a background in modern ML techniques and toolsets, experience with low-level GPU knowledge, and a knack for debugging and optimization, we'd love to hear from you.

Key Responsibilities:

  • Optimize ML model performance for large-scale training and inference
  • Develop and implement efficient GPU algorithms and data structures
  • Collaborate with the team to design and implement high-performance computing systems
  • Debug and optimize ML model performance using tools like CUDA GDB and NSight Systems
  • Stay up-to-date with the latest advancements in ML and GPU technology

What We're Looking For:

  • Strong understanding of modern ML techniques and toolsets
  • Experience with low-level GPU programming and optimization
  • Excellent debugging and problem-solving skills
  • Ability to work collaboratively in a dynamic team environment
  • Fluency in English

About Jane Street:

We're a global financial services firm that's passionate about using technology to drive innovation. Our ML team is at the forefront of this effort, and we're looking for talented engineers to join us on this exciting journey.



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