Jump Trading
Campus AI Research Engineer – Deep Learning (Full-Time)
$300K
Chicago +3 · Full-time · 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 and sponsors work visas for full-time positions.
About the job
Research and engineer deep-learning systems for quantitative finance, taking machine-learning projects from research through production and optimizing them for high-performance computing and latency-sensitive use.
What you'll do
- Develop reusable financial ML frameworks with researchers and quants.
- Optimize training pipelines for HPC resources and integrate models into production systems where latency matters.
- Build scalable, observable ML systems and improve research iteration speed.
What they ask for
- Strong publication record at a listed AI/ML conference or equivalent and/or contributions to open-source AI research.
- Strong general ML background, including modern deep learning and/or language-modeling architectures.
- Development skills in Python and/or C++; familiarity with PyTorch, JAX, and/or TensorFlow.
- Quantitative problem-solving and effective communication with trading researchers.
Nice to have
- Experience with HPC and distributed large model training.
- GPU performance optimization (CUDA or ROCm) or end-to-end model development.
Pay
USD 300,000 per year (base salary)
Tools
C, C++, Python, CUDA, PyTorch, JAX, TensorFlow, ROCm
AI focus
Apply state-of-the-art machine learning and deep learning, including language-modeling architectures, to quantitative research and financial markets; build, train, optimize, and productionize models.
Model-written summary · the original posting is authoritative