Machine Learning Internship - PhD: 2026 | Bala-Cynwyd, PA, USA

Susquehanna International Group • Full-time • Bala-Cynwyd, PA, US • 1d ago

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

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.