Jump Trading
Campus AI Research Engineer - Deep Learning (Intern)
$300K
Chicago +3 · Internship · Posted Jul 8, 2026
- Location
- Chicago
New York
Chicago, IL, United States
New York, NY, United States - Visa sponsorship
- International students eligible for CPT/OPT are accepted; work visas are sponsored for full-time positions.
About the job
Conduct deep-learning research for quantitative finance, building and optimizing machine-learning systems and integrating models into production.
What you'll do
- Apply advanced techniques to challenging research problems and build reusable frameworks for financial ML.
- Optimize training pipelines for HPC resources and build large-scale ML systems.
- Integrate models into latency-sensitive production systems and improve research iteration speed.
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.
Nice to have
- Experience with HPC and distributed large-model training.
- Experience with GPU performance optimization using CUDA or ROCm.
Pay
$300,000 per year (annualized base salary)
Tools
C, C++, Python, CUDA, PyTorch, JAX, TensorFlow, ROCm
AI focus
Deep-learning and machine-learning research, including financial ML, language-modeling architectures, training optimization, and production model integration.
Model-written summary · the original posting is authoritative