AI Research Scientist | Research & Development

Jump Trading•Singapore, NY

25d

About The Position

Jump Trading Group is committed to world-class research, empowering exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting-edge research to global financial markets. Our culture is unique, fostering constant innovation through fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent 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. Our AI team is a central R&D group comprised of quantitative researchers, engineers, and ML experts leading LLM research and applications at Jump. Our mission is to combine emerging techniques and models with original research to generate signals from unstructured data.

Requirements

5+ year track record of creating ML systems with real metrics & impact in industry and/or academia
Strong general ML background with some exposure to language modeling architectures (e.g. transformers, SSMs)
Solid development skills in Python and/or C++
Familiarity with ML libraries/frameworks such as PyTorch (preferred), TensorFlow, and/or JAX
Intellectual curiosity, versatility, and originality combined with a pragmatic outlook
Ability to reason through quantitative problems and communicate effectively with trading researchers
Reliable and predictable availability

Nice To Haves

Experience with HPC and distributed large model training
Experience with GPU performance optimization (CUDA or ROCm)
Experience with end-to-end model development, especially in LLMs
Prior academic publications and/or contributions to open-source AI research
Strong opinions on best practices in ML research, tooling, and/or infrastructure

Responsibilities

Lead an open-ended research project from concept to production.
Find compelling problems well-suited to current and projected LLM capabilities.
Collaborate extensively with trading teams to understand requirements and constraints.
Continuously improve model design, tools, and infrastructure.
Target any area of the quantitative research process with the potential for firmwide application.
Other duties as assigned or needed.