Campus AI Research Engineer: High-Impact ML for Markets

Jump Trading; Chicago (IL); On-site; USD 270,000 - 330,000; Full time

Job summary

Jump Trading Group is seeking world-class engineers to collaborate with research, trading, and engineering teams to build state‑of‑the‑art ML systems for quantitative finance. You will optimize training pipelines on HPC clusters, develop low-latency inference, and push AI research from concept to production in a fast-paced, collaborative environment.

Ideal candidates will have deep expertise in Python/C++, PyTorch/TensorFlow/JAX, and GPU programming (CUDA, Triton, SYCL, ROCm).

Qualifications

• Proficiency in Python and/or C++.
• Experience with PyTorch, JAX, TensorFlow or similar frameworks.
• Experience building AI/ML systems at scale (hundreds of TBs of data, low latency or high throughput).
• Excellent written and verbal communication skills in English.
• Ability to thrive in a collaborative, team-oriented environment.

Responsibilities

• Apply state-of-the-art techniques to complex and challenging domains.
• Build flexible and reusable frameworks for financial AI/ML with researchers and quants.
• Optimize training pipelines to maximize HPC resource utilization.
• Integrate AI/ML models into latency-sensitive production systems.
• Work across C/C++, Python, CUDA and other low-level GPU languages.
• Build large-scale AI/ML systems that are observable, performant, and adaptable.
• Other duties as assigned or needed.

Skills

Python

C++

PyTorch

JAX

TensorFlow

CUDA

GPU programming

English communication

Team collaboration

Job description

Jump Trading Group is seeking world-class engineers to collaborate with research, trading, and engineering teams to build state‑of‑the‑art ML systems for quantitative finance. You will optimize training pipelines on HPC clusters, develop low-latency inference, and push AI research from concept to production in a fast-paced, collaborative environment.

Ideal candidates will have deep expertise in Python/C++, PyTorch/TensorFlow/JAX, and GPU programming (CUDA, Triton, SYCL, ROCm).