jumptrading
Campus AI Research Engineer – Deep Learning(Full-Time)
Chicago; New York · Full-time
Sponsorship not specifiedDetected 19 hours ago
PythonC++Machine LearningDeep LearningTensorFlowPyTorchNLPStatisticsResearchCollaborationMicrosoft Office
About the role
- Jump Trading Group is committed to world class research.
- We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets.
- Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak.
Responsibilities
- Optimize training pipelines to make the best use of our HPC resources.
Requirements
- We believe that successful research efforts require a fluid mix of skills including AI/ML expertise, engineering pragmatism, statistics, and market intuition.
Nice to have
- Experience with HPC and distributed large model training
- Experience with GPU performance optimization (CUDA or ROCm)
- Experience with end-to-end model development
Skills
- Other duties as assigned or needed.
- Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research
- 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
Benefits
- Work closely with researchers and quants to build flexible and reusable frameworks for financial ML.
- Build large-scale ML systems that are observable, performant, and flexible.
- Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs)
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