Campus AI Research Engineer (Intern)
Jump TradingAbout the Role
Jump Trading is seeking world-class engineers to collaborate with research, trading, and engineering teams to build state-of-the-art ML systems that solve complex problems in quantitative finance. You will work on high-impact projects including optimizing training pipelines on HPC clusters, developing low-latency inference systems, and advancing AI/ML capabilities from concept to production. This role offers the opportunity to work with cutting-edge technologies and large-scale systems in a fast-paced, collaborative environment.
- Apply state-of-the-art techniques to complex domains in quantitative finance
- Work closely with researchers and quants to build flexible AI/ML frameworks
- Optimize training pipelines for HPC resources and integrate models into production systems
- Build large-scale, observable, and performant AI/ML systems using C/C++, Python, CUDA, and other languages
Requirements
- Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
- Ability to thrive in a collaborative, team-oriented environment
- 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
What You'll Get
- $300k+ base salary
- We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions