Campus AI Research Engineer – Research Automation (Intern)
Jump Trading17 days ago
Chicago, IL, USA or New York, NY, USAIntern
Base Salary
$300k - $300k/yr
Responsibilities
- Apply state-of-the-art machine-learning techniques to complex research problems.
- Build flexible and reusable frameworks for financial machine learning with researchers and quantitative researchers.
- Optimize training pipelines for high-performance computing resources.
- Integrate machine-learning models into latency-sensitive production systems.
- Build observable, performant, and flexible large-scale ML systems.
- Improve research productivity by reducing iteration cycle time.
- Work across C, C++, Python, CUDA, and other low-level GPU languages.
Requirements
- Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent, and/or contributions to open-source AI research.
- Strong general machine-learning background with exposure to modern deep-learning techniques and/or language-modeling architectures such as transformers and SSMs.
- Solid development skills in Python and/or C++.
- Familiarity with PyTorch, JAX, and/or TensorFlow.
- Ability to reason through quantitative problems and communicate effectively with trading researchers.
- Intellectual curiosity, versatility, originality, pragmatism, collaboration, and reliable availability.
- Preferred experience with HPC, distributed large-model training, GPU performance optimization using CUDA or ROCm, and end-to-end model development.
Benefits
- Annualized estimated base salary of $300,000 per year.
- International students eligible for CPT/OPT are encouraged to apply; work visas are sponsored for full-time positions.
Categories
AI ResearchML Engineering