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Pay found in job post
Retrieved from the description.
Base pay range
$200,000.00/yr - $300,000.00/yr
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.
What You’ll DoWe are seeking research scientists with a demonstrated ability to apply machine learning to 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 intuition, and welcome all candidates who can demonstrate brilliance in one area, competence in a second, and enthusiasm for the third.
Skills You’ll Need
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
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, 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
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
Annual Base Salary Range
$200,000—$300,000 USD
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Financial Services
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