Campus AI Research Engineer (Intern)
Jump Trading2 months ago
Chicago, IL, USA or New York, NY, USAIntern
Base Salary
$300k - $300k/yr
Responsibilities
- Apply state-of-the-art techniques to challenging quantitative-finance domains.
- Collaborate with researchers and quants to build reusable financial AI/ML frameworks.
- Optimize AI/ML training pipelines for high-performance computing resources.
- Integrate AI/ML models into low-latency production systems.
- Build observable, performant, and flexible large-scale AI/ML systems.
- Improve research productivity by reducing iteration cycle time.
Requirements
- Proficiency in Python and/or C++.
- Proficiency in PyTorch, JAX, TensorFlow, or similar frameworks.
- Expertise in GPU or accelerator programming using CUDA, Triton, SYCL, ROCm, or equivalent technologies.
- Experience building AI/ML systems at scale, including large training datasets and low-latency or high-throughput inference.
- Strong written and verbal communication skills in English.
- Ability to work collaboratively, solve challenging problems, and maintain reliable availability.
Benefits
- International students eligible for CPT/OPT are encouraged to apply.
- The company sponsors work visas for full-time positions.
- The role offers an estimated annualized base salary of $300,000 per year.
Categories
About Jump Trading
Jump Trading is a privately held quantitative and high-frequency trading firm that designs low-latency systems and models to trade global markets across asset classes, including equities, futures, options, and cryptocurrencies. It trades its own capital rather than selling software or services, and operates from Chicago with offices across North America, Europe, and Asia; the firm was founded in 1999. Affiliates include Jump Crypto for digital assets and the venture arm Jump Capital.