AI Research Scientist | Research & Development
AI summary of the role
Lead open-ended LLM research from concept to production within Jump Trading's AI R&D group, collaborating with trading teams to apply frontier AI capabilities to quantitative finance.
What you’ll do
- Lead open-ended research projects from concept to production, applying ML to achieve state-of-the-art capabilities in complex domains
- Collaborate extensively with trading teams to understand requirements and constraints for LLM applications
- Continuously improve model design, tools, and infrastructure for quantitative research processes
- Combine ML expertise, engineering pragmatism, and market intuition to drive firmwide AI capabilities
What you’ll bring
- 5+ year track record of creating ML systems with real metrics and impact in industry or academia
- Strong general ML background with exposure to language modeling architectures (e.g., transformers, SSMs)
- Solid development skills in Python and/or C++
- PhD or Master's in Computer Science, Mathematics, or related field
Technologies
LLM · transformers · SSMs · Python · C++ · PyTorch · TensorFlow · JAX · CUDA · ROCm · HPC
About Jump Trading
Self-funded global trading firm deploying its own capital across traditional and digital markets with in-house research, HPC, networking, and AI infrastructure.
Bootstrapped
Source and classification
Internal deployment & tooling · Evidence for this classification:
Jump Trading Group is committed to world class research. We empower 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. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting 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 an R&D group of quantitative researchers, engineers, and ML experts leading LLM research and applications at Jump.
More from the job description
Jump Trading Group is committed to world class research. We empower 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. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting 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 an R&D group of quantitative researchers, engineers, and ML experts leading LLM research and applications at Jump. Our mission is to combine emerging techniques and original research to generate signals from unstructured data and to put frontier AI capabilities into the hands of the people doing the most demanding quantitative work in the world. Our remit is broad and growing, spanning model research, agentic systems, and the platforms that bring them into daily use, and we want our researchers and traders to experience these capabilities as a seamless and dependable extension of how they already work. What Yo [... source excerpt omitted ...] achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of leading an open-ended research project from concept to production: finding compelling problems well suited to current and projected LLM capabilities, collaborating extensively with trading teams to understand requirements and constraints, and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research process with the potential for firmwide application. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, and market intu
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