Campus AI Research Engineer – Research Automation (Intern)

About Jump Trading Group

Jump Trading Group is committed to world-class research. We empower exceptional talents in mathematics, physics, and computer science to explore scientific boundaries, apply cutting-edge research to global financial markets, and continuously push the frontiers of knowledge. Our culture emphasizes fearless innovation, creativity, intellectual honesty, collaboration, and mutual respect. We design, develop, and deploy technologies that change the world, fund start-ups across industries, and partner with leading global research organizations and universities.

Team and Focus

Our trading teams are dynamic groups of traders, quantitative researchers, and engineers who work together to analyze global markets, understand the complexities of various traded products and exchanges, and translate research outcomes into forecasting models and profitable trading strategies.

Role Overview

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 candidate can take an open-ended research project from concept to production and continuously improve model design, tools, and infrastructure. Projects may target any area of the quantitative research and monetization process. Successful research requires a fluid mix of AI/ML expertise, engineering pragmatism, statistics, and market intuition.

What You'll Do

• Apply state-of-the-art techniques to complex and challenging domains.
• Work closely with researchers and quants to build flexible and reusable frameworks for financial ML.
• Optimize training pipelines to maximize HPC resource utility.
• Integrate ML models into production systems where latency matters.
• Collaborate across a mix of programming languages: C, C++, Python, CUDA, and other low-level GPU languages.
• Build large-scale ML systems that are observable, performant, and flexible; help improve productivity by reducing iteration cycle time on research.
• Perform other duties as assigned or needed.

Required Skills & Qualifications

• Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research.
• Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g., transformers, SSMs).
• Solid development skills in Python and/or C++.
• Familiarity with ML libraries/frameworks such as PyTorch, JAX, and/or TensorFlow.
• Intellectual curiosity, versatility, and originality combined with a pragmatic outlook.
• Ability to thrive in a collaborative, team-oriented environment.
• 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.
• Strong opinions on best practices in ML research, tooling, and/or infrastructure.

Additional Details

INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and sponsor work visas for full-time positions.

The estimated base salary for this role (annualized) is $300,000 per year.