Machine Learning Internship - PhD: 2026
Bala Cynwyd (Philadelphia Area), PA, United States
Susquehanna International Group
Discover Susquehanna, a global quantitative trading firm with a passion for game theory and probabilistic thinking.Overview
Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data, algorithms, and markets.
As a Machine Learning Intern at Susquehanna, you’ll work on high-impact projects that closely reflect the challenges and workflows of our full-time research team. You’ll apply your technical expertise in machine learning and data science to real-world financial problems, while developing a deep understanding of how machine learning integrates into Susquehanna’s research and trading systems. You will leverage vast and diverse datasets and apply cutting-edge machine learning at scale to drive data-informed decisions in predictive modeling to strategic execution.
What You Can Expect
- Conduct research and develop ML models to identify patterns in noisy, non-stationary data
- Work side-by-side with our Machine Learning team on real, impactful problems in quantitative trading and finance, bridging the gap between cutting-edge ML research and practical implementation
- Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
- Design and run experiments using the latest ML tools and frameworks
- One-on-one mentorship from experienced researchers and technologists
- Participate in a comprehensive education program with deep dives into Susquehanna’s ML, quant, and trading practices
- Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
- Explore various aspects of machine learning in quantitative finance from alpha generation and signal processing to model deployment and risk-aware decision making
What we’re looking for
- Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, Physics, Applied Mathematics, or a closely related field
- Proven experience applying machine learning techniques in a professional or academic setting
- Strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
- Hands-on experience with machine learning frameworks, including PyTorch and TensorFlow
- Deep interest in solving complex problems and a drive to innovate in a fast-paced, competitive environment
Why Join Us?
- Work with a world-class team of researchers and technologists
- Access to unparalleled financial data and computing resources
- Opportunity to make a direct impact on trading performance
- Collaborative, intellectually stimulating environment with global reach
Susquehanna does not accept unsolicited resumes from recruiters or search firms. If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
Tags: Computer Science Finance ICLR ICML Machine Learning Mathematics ML models Model deployment NeurIPS PhD Physics Predictive modeling PyTorch Research Statistics TensorFlow
Perks/benefits: Conferences
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