Campus ML Research Engineer (Intern)

Jump Trading Group conducts cutting-edge research in mathematics, physics, and computer science and applies it to global financial markets. The Campus ML Research Engineer Intern will collaborate with research, trading, and engineering teams to build state-of-the-art machine learning systems for quantitative finance, including optimizing training pipelines, developing low-latency inference systems, and advancing AI research from concept to production.

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 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