Machine Learning Internship PhD 2027

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 youll work on high-impact projects that closely reflect the challenges and workflows of our full-time research team. Youll 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 Susquehannas 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 Susquehannas 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

• 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

About Susquehanna

Susquehanna is a global quantitative trading firm powered by scientific rigor curiosity and innovation. Our culture is intellectually driven and highly collaborative bringing together researchers engineers and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology we excel in solving complex problems and pushing boundaries together.

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