S
SIGNew York City, NYInternship
Machine Learning Internship - PhD: 2027
This 10-week Machine Learning PhD Internship offers hands-on experience applying ML to financial data and trading systems at Susquehanna. Interns work on impactful projects with mentorship and access to advanced resources.
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Role and Responsibilities
- Conduct research and develop ML models for noisy, non-stationary data.
- Collaborate with ML team on quantitative trading and finance problems.
- Improve models and explore new algorithmic approaches.
- Design and run experiments using latest ML tools and frameworks.
- Apply scientific methods to extract signals from complex datasets.
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Candidate Requirements
- Currently pursuing a PhD in CS, ML, Statistics, Physics, Applied Math, or related field.
- Experience applying ML techniques in academic or professional settings.
- Strong publication record in top-tier ML conferences (NeurIPS, ICML, ICLR).
- Hands-on experience with ML frameworks like PyTorch and TensorFlow.
- Deep interest in solving complex problems in a fast-paced environment.
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Program Benefits
- Work with world-class researchers and technologists.
- Access to unparalleled financial data and computing resources.
- Opportunity to impact trading performance directly.
- Collaborative and intellectually stimulating global environment.
- Receive mentorship and participate in comprehensive education program.