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About the Role
We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal candidate will implement open-ended research projects from concept to production while continuously improving model design, tools, and infrastructure.
Responsibilities
- Apply state-of-the-art techniques to complex and challenging domains
- Collaborate with researchers and quants to build flexible and reusable frameworks for financial ML
- Optimize training pipelines to utilize HPC resources effectively
- Integrate ML models into production systems where latency is critical
- Develop using C, C++, Python, CUDA, and other low-level GPU languages
- Build observable, performant, and flexible large-scale ML systems
- Improve productivity by reducing iteration cycle time on research
Requirements
- Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent
- Contributions to open-source AI research
- Strong general ML background with exposure to modern deep learning or language modeling architectures
- Solid development skills in Python and/or C++
- Familiarity with ML libraries such as PyTorch, JAX, and/or TensorFlow
- Intellectual curiosity, versatility, and originality
- Ability to thrive in a collaborative, team-oriented environment
- Ability to reason through quantitative problems and communicate effectively
- Reliable and predictable availability
Skills
- Machine Learning
- Deep Learning
- Language Modeling
- Python
- C++
- PyTorch
- JAX
- TensorFlow
- CUDA
- HPC
- Distributed large model training
- GPU performance optimization
- End-to-end model development
Work Type
- Full-time
Salary/Compensations
- $300,000
Benefits
- Visa sponsorship for full-time positions
- Support for students eligible for CPT/OPT
About the Company
- Jump Trading Group is committed to world-class research in Mathematics, Physics, and Computer Science
- The company focuses on applying cutting-edge research to global financial markets
- The culture emphasizes innovation, fearlessness, creativity, intellectual honesty, and collaboration