AI Research Scientist | Research & Development

Jump Trading; New York (NY); On-site; USD 200,000 - 300,000; Full time

Benefits offered by this job

Discretionary bonus eligibility

Medical, dental, and vision insurance

Retirement plan with employer match

Paid vacation plus paid holidays

Job summary

A leading quantitative research firm is seeking research scientists to enhance machine learning capabilities within their AI team. Ideal candidates will have 5+ years of experience in creating impactful ML systems and a strong background in Python and/or C++. Responsibilities include leading open-ended research projects, collaborating with trading teams, and improving model design. The position offers competitive benefits and an annual salary range of $200,000 - $300,000.

Qualifications

• 5+ years of experience creating ML systems with measurable impact.
• Strong background in ML and some familiarity with language modeling.
• Solid programming experience in Python and/or C++.

Responsibilities

• Lead research projects in applying ML to complex domains.
• Collaborate with trading teams to define project requirements.
• Continuously improve model designs and infrastructure.

Skills

Machine Learning

Python

C++

Transformers

PyTorch

TensorFlow

Quantitative Reasoning

Tools

HPC

CUDA

JAX

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 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. Other duties as assigned or needed.

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 matchPaid parental leave
• Wellness Programs

Annual Base Salary Range : $200,000 USD - $300,000 USD