AI Research Scientist
AI Research Scientist
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Salary Not Disclosed
1 Vacancy
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 startups 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 Youll Do:
We are seeking research scientists with a demonstrated ability to apply machine learning to achieve stateoftheart capabilities in complex and challenging domains. The ideal person for this role will be capable of leading an openended 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 Youll 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 endtoend model development especially in LLMs
- Prior academic publications and/or contributions to opensource AI research
- Strong opinions on best practices in ML research tooling and/or infrastructure
Benefits
Discretionary bonus eligibilityMedical 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
Employment Type
Full Time
