Campus AI Research Engineer - Deep Learning (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 and challenging domains.
- Work with researchers and quantitative researchers to build flexible, reusable frameworks for financial machine learning.
- Optimize training pipelines for high-performance computing resources.
- Integrate machine learning models into latency-sensitive production systems.
- Develop large-scale ML systems that are observable, performant, and flexible.
- Improve research productivity by reducing model iteration cycle time.
- Work across C, C++, Python, CUDA, and other low-level GPU programming 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, and a pragmatic outlook.
- Ability to work effectively in a collaborative, team-oriented environment.
- Reliable and predictable availability.
Benefits
- International students eligible for CPT/OPT are encouraged to apply.
- Work visa sponsorship is available for full-time positions.
Categories
AI ResearchML Engineering