AI Research Scientist

Jump Trading • NY

312d • $200,000 - $300,000

About The Position

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 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.

Benefits

• Discretionary bonus eligibility.
• Medical, dental, and vision insurance.
• HSA, FSA, and Dependent Care options.
• Employer Paid Group Term Life and AD&D Insurance.
• Voluntary Life & AD&D insurance.
• Paid vacation plus paid holidays.
• Retirement plan with employer match.
• Paid parental leave.
• Wellness Programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior