Campus AI Research Engineer (Full-Time)

Sourced from feeny.ai

Jump Trading seeks world-class engineers to build state-of-the-art ML systems for quantitative finance. You'll collaborate with researchers, traders, and engineers to optimize training pipelines on HPC clusters, develop low-latency inference systems, and take AI research from concept to production. This is a full-time campus role based in Chicago with visa sponsorship available.

• Apply state-of-the-art AI/ML techniques to complex quantitative finance 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 low-latency production systems
• Work across C, C++, Python, CUDA, and other low-level GPU languages
• Build large-scale, observable, performant AI/ML systems and reduce research iteration time

• Proficiency in Python and/or C++
• Proficiency in PyTorch, JAX, TensorFlow, or similar frameworks
• Expertise in GPU or accelerator programming (CUDA, Triton, SYCL, ROCm, or equivalent)
• Experience building AI/ML systems at scale (hundreds of TBs of training data, low-latency or high-throughput inference)
• Excellent written and verbal communication skills in English
• Reliable and predictable availability

• Creative, self-motivated problem solver
• Comfortable in a collaborative, team-oriented environment
• Background in Mathematics, Physics, or Computer Science