JT
Jump TradingChicago, ILInternship
Campus AI Research Engineer - Deep Learning (Intern)
Join Jump Trading as a Campus AI Research Engineer Intern applying state-of-the-art deep learning techniques to financial markets. Collaborate with researchers and engineers to develop and optimize machine learning models and infrastructure.
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Role Responsibilities
- Apply advanced machine learning techniques to complex financial domains.
- Collaborate with researchers and quantitative analysts to build reusable ML frameworks.
- Optimize training pipelines for high-performance computing resources.
- Integrate ML models into low-latency production systems.
- Work with programming languages including C, C++, Python, CUDA, and GPU languages.
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Required Skills
- Strong publication record or contributions to open-source AI research.
- Solid background in machine learning and deep learning techniques.
- 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 high-performance computing and distributed model training.
- Knowledge of GPU performance optimization (CUDA or ROCm).
- Experience in end-to-end model development.
- Strong opinions on ML research best practices and tooling.