JT
Jump TradingChicago, ILGraduate
Campus AI Research Engineer – Deep Learning(Full-Time)
Join Jump Trading as a Campus AI Research Engineer applying state-of-the-art machine learning to financial markets. Collaborate with researchers and engineers to develop and deploy advanced ML models in production environments.
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Role Responsibilities
- Apply advanced ML 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 multiple programming languages including C, C++, Python, and CUDA.
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Required Skills
- Strong publication record or open-source AI research contributions.
- Expertise in modern deep learning and language modeling architectures.
- 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 Qualifications
- Experience with HPC and distributed large model training.
- GPU performance optimization skills (CUDA or ROCm).
- End-to-end ML model development experience.
- Strong opinions on ML research best practices and tooling.