Campus ML Research Engineer (Intern)

Jump Trading is seeking a Campus ML Research Engineer Intern to collaborate on building state-of-the-art ML systems for quantitative finance. This role involves optimizing training pipelines, developing low-latency inference systems, and integrating ML models into production environments.

• Apply state-of-the-art ML techniques to complex financial domains
• Collaborate with researchers and quants on financial ML frameworks
• Optimize training pipelines for HPC resources
• Integrate ML models into low-latency production systems
• Build large-scale, performant, and observable ML systems
• Proficiency in Python and/or C++, and deep learning libraries