Jump Trading / Jump Crypto
Campus AI Research Engineer - Deep Learning (Intern)
Eligibility
- Student internship.
- International students encouraged; CPT/OPT eligible and visa sponsorship provided.
Internship for AI research scientist focusing on deep learning and ML models in quantitative finance, implementing projects from concept to production, with programming in Python/C++ and ML frameworks and a strong publication or research background.
Responsibilities
- Apply state-of-the-art ML techniques to complex quantitative finance domains.
- Collaborate with researchers and quants to develop reusable ML frameworks.
- Optimize HPC training pipelines.
- Integrate ML models in production with latency considerations.
- Develop using C, C++, Python, CUDA, and GPU languages.
- Build observable, performant, flexible large-scale ML systems.
- Reduce research iteration cycle times.
- Other duties as assigned.
Requirements
- Strong research record in top-tier ML conferences or open-source contributions.
- Strong general ML and deep learning knowledge including transformer architectures.
- Proficiency in Python and/or C++.
- Familiarity with PyTorch, JAX, TensorFlow.
- Curiosity, versatility, and pragmatic approach.
- Collaborative team worker.
- Good quantitative problem reasoning and communication with trading researchers.
- Reliable availability.
Skills
- Python
- C++
- PyTorch
- JAX
- TensorFlow
- CUDA
- Deep learning
- ML research
- GPU optimization
- Employer posted
- Last checked