About the role#
We are looking for researchers to apply machine learning techniques to complex domains. You will take projects from initial concepts through to production, while improving model design, tools, and infrastructure. This role sits within our front office teams, where you will work alongside traders and quantitative researchers to solve problems in global financial markets.
What you'll do#
- Apply advanced techniques to challenging research problems.
- Build flexible, reusable frameworks for financial machine learning in collaboration with quants.
- Optimize training pipelines to maximize the use of high-performance computing resources.
- Integrate machine learning models into production systems where low latency is required.
- Develop code using C, C++, Python, CUDA, and other low-level GPU languages.
- Build large-scale systems that are performant, observable, and flexible.
- Reduce iteration cycle times to improve overall research productivity.
What you'll need#
- A strong publication record at venues like ICML, ICLR, AAAI, NeurIPS, UAI, or KDD, or significant contributions to open-source AI research.
- A solid background in general machine learning and modern deep learning, including transformers or SSMs.
- Development skills in Python or C++.
- Experience with frameworks such as PyTorch, JAX, or TensorFlow.
- The ability to reason through quantitative problems and communicate clearly with researchers.
- Intellectual curiosity and a pragmatic approach to problem-solving.
- Experience with HPC, distributed large model training, or GPU performance optimization is a plus.
- Strong opinions on best practices for research tooling and infrastructure.
Location & details#
- This is a full-time, on-site position based in Chicago or New York.
- We offer visa sponsorship and welcome international students eligible for CPT or OPT.
About Jump Trading
Jump Trading is a financial services firm founded over 25 years ago. The company maintains its headquarters in Chicago and operates 13 offices across 8 countries. It employs over 2,000 people who work on trading systems, research, and engineering. The firm focuses on various asset classes and uses machine learning and AI to operate in global markets.
How to get in at Jump Trading
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