Machine Learning Internship

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 [email protected]. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.