Machine Learning Internship - PhD: 2026

Susquehanna International Group, Llp (Sig)

New York, NY

Internship

Intern

312k-312k

13 days ago

Job Description

About the Role

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.

Key Responsibilities

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
Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior

Requirements

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

Nice to Have

Experience working with large and diverse datasets
Experience in quantitative finance or trading systems
Experience with model deployment and risk-aware decision making

Qualifications

Pursuing a PhD in relevant fields such as Computer Science, Machine Learning, Statistics, Physics, or Applied Mathematics

Benefits & Perks

Weekly base salary of $6000 during the ten-week program
Signing bonus
Housing, breakfast, and lunch
Other perks
Access to unparalleled financial data and computing resources
Opportunity to make a direct impact on trading performance
Collaborative, intellectually stimulating environment with global reach

Working at Susquehanna International Group, Llp (Sig)

Collaborative, intellectually stimulating environment with a global reach, focused on innovation and impactful research in quantitative finance and machine learning

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