Campus AI Research Engineer (Full-Time)

Jump Trading • Chicago, NY

17h • Onsite

About The Position

Jump Trading Group is committed to world-class research, empowering exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting-edge research to global financial markets. Our culture is unique, fostering constant innovation through fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk-adjusted returns; we design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our trading teams consist of dynamic groups of traders, quantitative researchers, and engineers who collaborate to examine global markets, understand complex traded products and exchanges, and leverage statistical analysis and data mining skills to develop profitable predictive trading models. We are seeking world-class engineers to collaborate with our research, trading, and engineering teams to build state-of-the-art ML systems that solve complex problems in quantitative finance. This role involves optimizing training pipelines on high-performance computing clusters, developing low-latency inference systems, and advancing AI research from concept to production in a fast-paced, collaborative environment. We are looking for individuals driven by technical challenges, eager to work with large-scale systems, and passionate about advancing AI/ML capabilities.

Requirements

• Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
• Proficiency in Python and/or C++
• Proficiency in PyTorch, JAX, TensorFlow, and/or similar frameworks
• Ability to thrive in a collaborative, team-oriented environment
• Expertise in GPU or accelerator programming (CUDA, Triton, SYCL, ROCm, or equivalent)
• Experience building AI/ML systems at scale (hundreds of TBs of training data, low-latency or high-throughput inference requirements)
• Excellent written and verbal communication skills in English
• Reliable and predictable availability
• INTERNATIONAL STUDENTS are encouraged to apply.
• We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions.

Responsibilities

• Apply state-of-the-art techniques to complex and challenging domains.
• Work closely with researchers and quants to build flexible and reusable frameworks for financial AI/ML.
• Optimize training pipelines to make the best use of our HPC resources.
• Integrate AI/ML models into production systems where latency matters.
• Work across a mix of programming languages: C / C++ / Python / CUDA and other low-level GPU languages.
• Build large-scale AI/ML systems that are observable, performant, and flexible.
• Help improve productivity by reducing the iteration cycle time on research.
• Other duties as assigned or needed.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed