S
SIGBala Cynwyd, PAInternship
Machine Learning Internship - PhD: 2027
This 10-week Machine Learning PhD Internship offers hands-on experience solving financial problems using ML and data science at Susquehanna. Interns work alongside researchers and traders to develop models and apply cutting-edge techniques in quantitative trading.
1
Responsibilities
- Conduct research and develop ML models to identify patterns in noisy, non-stationary data.
- Collaborate with ML team on real problems in quantitative trading and finance.
- Work with researchers, developers, and traders to improve models and explore new algorithms.
- Design and run experiments using latest ML tools and frameworks.
- Apply scientific methods to extract signals from complex datasets.
2
Requirements
- Currently pursuing a PhD in CS, ML, Statistics, Physics, Applied Math, or related field.
- Proven experience applying ML techniques in academic or professional settings.
- Strong publication record in top-tier ML conferences like NeurIPS, ICML, or ICLR.
- Hands-on experience with ML frameworks such as PyTorch and TensorFlow.
- Deep interest in solving complex problems in a fast-paced environment.
3
Program Details
- Duration: 10 weeks.
- Includes one-on-one mentorship from experienced researchers and technologists.
- Comprehensive education program covering ML, quantitative research, and trading practices.
4
Why Join Us?
- Work with a world-class team of researchers and technologists.
- Access to unparalleled financial data and computing resources.
- Opportunity to directly impact trading performance.
- Collaborative and intellectually stimulating global environment.