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Jump Trading Group is seeking to solve complex problems in quantitative finance by building state-of-the-art ML systems

Requirements

• Proficiency in Python and/or C++
• Proficiency in Pytorch, JAX, Tensorflow or other DL library.
• 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)
• Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
• Ability to thrive in a collaborative, team-oriented environment
• Excellent written and verbal communication skills in English

Responsibilities

• 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

• Reliable and predictable availability required
• INTERNATIONAL STUDENTS are encouraged to apply.
• We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions.
• Excellent written and verbal communication skills in English
• Ability to thrive in a collaborative, team-oriented environment