Campus AI Researcher, PhD/Postdoc (Intern)

Jump Trading Group — Research Scientist

Jump Trading Group is committed to world-class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to push scientific boundaries and apply cutting-edge research to global financial markets. Our culture is defined by constant innovation, including fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together by incentivizing collaboration and mutual respect.

At Jump, research outcomes drive more than superior risk-adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Team & Focus

Our trading teams include traders, quantitative researchers, and engineers who work together to examine global markets. They seek to understand the complexities of various traded products and exchanges, leveraging strong statistical analysis and data mining skills to research, develop forecasts, and build profitable predictive trading models.

What You Will Do

We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. You will implement an open-ended research project from concept to production and continuously improve model design, tools, and infrastructure.

Potential projects may target any area of the quantitative research and monetization process. Successful research efforts require a fluid mix of skills, including ML expertise, engineering pragmatism, statistics, and market intuition.

Other duties as assigned or needed.

Skills You’ll Need

• 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, TensorFlow, and/or JAX
• 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 required

Bonus Points

• 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

International Students

International students are encouraged to apply. We accept students eligible for CPT/OPT and sponsor work visas for full-time positions.