JT
Jump TradingChicago, ILGraduate
Campus AI Research Engineer – Research Automation (Full-Time)
Join Jump Trading as a Campus AI Research Engineer to apply advanced machine learning in financial markets. Collaborate with researchers and engineers to develop and deploy ML models, optimizing training pipelines and production systems. Ideal for candidates with strong ML backgrounds and programming skills.
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Role Responsibilities
- Apply state-of-the-art ML techniques to complex domains.
- Collaborate with researchers and quants to build reusable financial ML frameworks.
- Optimize training pipelines for high-performance computing resources.
- Integrate ML models into low-latency production systems.
- Work with C, C++, Python, CUDA, and other GPU languages.
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Required Skills
- Strong publication record or contributions to open-source AI research.
- Solid ML background with experience in deep learning and language models.
- Proficient in Python and/or C++ development.
- Familiarity with ML frameworks like PyTorch, JAX, or TensorFlow.
- Intellectual curiosity and pragmatic problem-solving skills.
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Bonus Skills
- Experience with HPC and distributed large model training.
- GPU performance optimization experience (CUDA or ROCm).
- End-to-end ML model development expertise.
- Strong opinions on ML research best practices and tooling.