Campus AI Research Engineer – Research Automation (Intern)

Job title: Campus AI Research Engineer – Research Automation (Intern)

About the Role Jump Trading is seeking a Campus AI Research Engineer – Research Automation intern to contribute to our world-class research efforts focused on automation and production-ready ML in quantitative finance. You will help apply state-of-the-art ML techniques to complex domains, build flexible frameworks for financial ML, and accelerate the research-to-production cycle in a high-performance environment.

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 ML.
• Optimize training pipelines to make the best use of our HPC resources.
• Integrate 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 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

• Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research
• Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs)
• Solid development skills in Python and/or C++
• Familiarity with ML libraries/frameworks such as PyTorch, JAX, and/or TensorFlow
• Intellectual curiosity, versatility, and originality combined with a pragmatic outlook
• Ability to thrive in a collaborative, team-oriented environment
• Ability to reason through quantitative problems and communicate effectively with trading researchers
• Reliable and predictable availability

Nice to Have

• Experience with HPC and distributed large model training
• Experience with GPU performance optimization (CUDA or ROCm)
• Experience with end-to-end model development
• Strong opinions on best practices in ML research, tooling, and/or infrastructure

Compensation & Benefits

• The estimated base salary for this role (annualized) is $300,000 per year.
• CPT/OPT eligible for internships; visa sponsorship for full-time positions
• Location: onsite in Chicago or New York (no explicit remote option advertised)