Tech Stack

Description

As a Campus AI/ML Researcher at Jump Trading, you will apply machine learning to achieve state-of-the-art capabilities in complex domains, implementing research projects from concept to production. You will collaborate with traders, researchers, and engineers to analyze global markets and develop predictive trading models.

Requirements

• Strong publication record at top AI/ML conferences (ICML, ICLR, NeurIPS, etc.) or contributions to open-source AI research
• Familiarity with ML libraries/frameworks such as PyTorch, TensorFlow, and/or JAX
• Proficiency in Python and/or C++
• Strong general ML background with exposure to modern deep learning and language modeling architectures
• Ability to reason through quantitative problems and communicate effectively

Responsibilities

• Apply machine learning to achieve state-of-the-art capabilities in complex domains
• Implement open-ended research projects from concept to production
• Continuously improve model design, tools, and infrastructure
• Collaborate with traders, researchers, and engineers to analyze global markets
• Leverage statistical analysis and data mining to develop predictive trading models