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

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.

What You’ll Do

We are seeking an AI Adoption Engineer to serve as the primary technical partner for Jump’s back office teams, including Finance, Legal, HR, and other non-trading functions, as they integrate AI into their day-to-day work. This role sits at the intersection of AI research, infrastructure, and core business applications. As a hands-on AI expert, you will pair with developers and AI champions across the firm to identify high-value use cases, build solutions using Jump's internal AI platform, and work closely with R&D and infrastructure to unlock new capabilities as needed. You will own the full lifecycle of back office AI solutions, from discovery and stakeholder conversations to prototyping, deployment, and ongoing iteration, while establishing best practices for prompting, agent design, evaluation, robustness, and responsible AI use.

We believe that driving successful adoption across the firm requires a fluid mix of technical depth, product intuition, and genuine curiosity about how business teams operate. We welcome candidates who demonstrate knowledge of current best practices, follow new patterns closely as they emerge, experiment often, and are equally comfortable working with technical and non-technical stakeholders. The ideal person for this role is confident in the immediate and measurable benefits of well-designed AI applications. They are eager to build, but equally happy to teach, and capable of applying new techniques and technologies within a responsible, secure, and scalable framework.

Other duties as assigned or needed.

• 2+ years of professional software engineering or applied AI experience
• Strong proficiency in Python, with hands-on experience integrating LLM APIs, building AI-powered applications, or working with agent/automation frameworks
• Demonstrated ability to work directly with non-technical or semi-technical business stakeholders, translating ambiguous problems into clear, actionable solutions
• Excellent communication and interpersonal skills
• Comfort explaining complex technical concepts to diverse audiences and building trust across teams
• Strong analytical and problem-solving skills with a bias toward simplicity and usability
• Familiarity with core software engineering fundamentals
• Ability to work smoothly across a range of technical environments (Mac, Windows, and Linux) as needed
• Bachelor's degree in Computer Science, Computer Engineering or related field
• Reliable and predictable availability

Benefits include:

• Private Medical, Vision and Dental Insurance
• Travel Medical Insurance
• Group Pension Scheme
• Group Life Assurance and Income Protection Schemes
• Paid Parental Leave
• Parking and Commuter Benefits