Requirements:

Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
Proficiency in Python and/or C++
Proficiency in Pytorch, JAX, Tensorflow or other DL library
Ability to thrive in a collaborative, team-oriented environment
Expertise in GPU or Accelerator programming (CUDA, Triton, SYCL, ROCm or equivalent)
Experience building ML systems at large scale (hundreds of TBs of training data, low latency or high throughput inference requirements)
Excellent written and verbal communication skills in English
Reliable and predictable availability required

What you'll be doing:

Apply state-of-the-art techniques to complex and challenging domains
Work closely with researchers and quants to build flexible and reusable frameworks for financial ML
Optimize training pipelines to make the best use of our HPC resources
Integrate ML models into production systems where latency matters
Work across a mix of programming languages: C / C++ / Python / CUDA and other low-level GPU languages
Build large scale ML systems that are observable, performant, and flexible. Help improve productivity by reducing the iteration cycle time on research
Other duties as assigned or needed