Jump Trading
Campus AI Research Engineer – Research Automation (Intern)
$300K
Chicago +3 · Internship · Posted Jul 8, 2026
- Location
- Chicago
New York
Chicago, IL, United States
New York, NY, United States - Visa sponsorship
- Accepts students eligible for CPT/OPT; sponsors work visas for full-time positions.
About the job
Conduct AI/ML research for quantitative finance, building and optimizing reusable research frameworks, training pipelines, and production ML systems.
What you'll do
- Apply advanced techniques to challenging domains and develop large-scale ML systems.
- Build reusable financial ML frameworks with researchers and quantitative researchers; improve research iteration speed.
- Optimize training pipelines for HPC resources and integrate models into latency-sensitive production systems.
What they ask for
- Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent, and/or contributions to open-source AI research.
- Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures.
- Development skills in Python and/or C++; familiarity with PyTorch, JAX, and/or TensorFlow.
- Quantitative reasoning, effective communication, collaborative working ability, and reliable availability.
Nice to have
- Experience with HPC and distributed large model training.
- GPU performance optimization experience (CUDA or ROCm), end-to-end model development, or ML research/tooling/infrastructure best practices.
Pay
$300,000 per year (annualized) base salary
Tools
C, C++, Python, CUDA, PyTorch, JAX, TensorFlow, ROCm
AI focus
Applies machine learning research to quantitative finance, including deep learning and language modeling; develops, optimizes, and deploys models and training systems.
Model-written summary · the original posting is authoritative