Campus AI Research Engineer — Financial ML Innovator

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

Job summary

Jump Trading Group seeks research scientists to apply machine learning to high‑stakes financial problems and to push state‑of‑the‑art capabilities from concept to production.

The role emphasizes a blend of AI/ML expertise, engineering pragmatism, statistics, and market intuition, with collaboration across researchers, quants, and engineers to build scalable, observable systems in a fast-paced environment.

Qualifications

• Strong publication record in ML/AI venues (ICML/NeurIPS/AAAi/etc.) and/or open-source contributions.
• Proven ML background with deep learning and language modeling exposure.
• Solid development skills in Python and C++.
• Familiarity with ML libraries such as PyTorch, JAX, TensorFlow.
• Intellectual curiosity with a pragmatic, collaborative mindset.

Responsibilities

• Apply state-of-the-art ML techniques to complex and challenging domains.
• Collaborate with researchers and quants to build flexible ML frameworks for finance.
• Optimize training pipelines to maximize HPC resource usage.
• Integrate ML models into production systems where latency matters.
• Develop large-scale, observable ML systems and reduce iteration cycles.

Skills

ML research publications

Python and C++ development

Collaborative

Communication with researchers

Problem-solving and statistics

Tools

Python

C++

PyTorch

JAX

TensorFlow

CUDA

Job description

Jump Trading Group seeks research scientists to apply machine learning to high‑stakes financial problems and to push state‑of‑the‑art capabilities from concept to production.

The role emphasizes a blend of AI/ML expertise, engineering pragmatism, statistics, and market intuition, with collaboration across researchers, quants, and engineers to build scalable, observable systems in a fast-paced environment.