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 Do :
We 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
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
Research Scientist - Voice AI Foundations
A company is looking for a Research Scientist - Voice AI Foundations. Key Responsibilities:Design and implement experimental programs to build new speech and language AI foundation modelsDrive large-scale training jobs on distributed computing infrastructure and optimize model architectures for effi...
Research Data Scientist - Python and AI modeling preferred
DiagnosisAId is an innovative project which will leverage insights from an existing AI-informed clinical reasoning tool and the extensive data in NYU Langone Healths electronic health record to create a novel AI system; this system seeks to identify and signal cases of potential diagnostic error to ...
AI Research Scientist
Overview</b><br /> <br /> We are seeking a talented and innovative AI Research Scientist to join our research and development team. The AI Research Scientist will be responsible for conducting cutting-edge research in artificial intelligence, developing advanced algorithms, and app...
AI Research Scientist – New York
Leading HFT fund looking for motivated research scientists with a demonstrated ability to apply machine learning to achieve cutting-edge capabilities in complex and challenging domains. You will join a growing AI team combining emerging techniques and models with original research to generate signal...
Senior/Staff Machine Learning Research Scientist Generative AI
Scale's Generative AI ML team conducts research on models, supervision, and algorithms that advance frontier models for Scale's applied-ML teams and the broader AI community. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and...
Senior/Staff Machine Learning Research Scientist Generative AI
Experience in dealing with large scale AI problems, ideally in the generative-AI field. Demonstrated research expertise in post-training methods &/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc. A track reco...
AI Research Scientist - New York- Global Quant Firm
AI Research Scientist - New York. Leading HFT fund looking for motivated research scientists with a demonstrated ability to apply machine learning to achieve cutting-edge capabilities inplex and challenging domains. You will join a growing AI teambining emerging techniques and models with original r...
AI Research Scientist
Our AI team is a central R&D group comprised of quantitative researchers, engineers, and ML experts leading LLM research and applications at Jump. We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challeng...
Research Data Scientist - Python and AI modeling preferred
DiagnosisAId is an innovative project which will leverage insights from an existing AI-informed clinical reasoning tool and the extensive data in NYU Langone Healths electronic health record to create a novel AI system; this system seeks to identify and signal cases of potential diagnostic error to ...
Research Data Scientist, AI Hub
Reporting to the Assistant Director for Research, and working in collaboration with the Director for Behavioral Health Research and Executive Director, the Data Scientist will lend their expertise, leadership and strategic planning for the continued growth and expansion of research and evaluation pr...