About this role
Job title: Campus AI Research Engineer (Full-Time)
About the Role Jump Trading Group is 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 full-time campus role offers opportunities to work on end-to-end AI/ML deployments from research to production, across HPC pipelines and low-latency systems.
What You'll Do
- 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 We're Looking For
- 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; CPT/OPT eligible and we sponsor work visas for full-time positions.
Compensation & Benefits
- The estimated base salary for this role is $300,000 per year.
- We sponsor work visas for full-time positions.
- Benefits and perks will be discussed during interview.