Susquehenna International Group
Machine Learning Internship - PhD: 2026
Susquehenna International Group, New York, New York, us, 10261
Machine Learning PhD Internship
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 Machine Learning interns will receive a $6000 weekly base salary during the ten-week program. In addition, interns will receive a signing bonus, housing, breakfast and lunch, and other perks.
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 Machine Learning interns will receive a $6000 weekly base salary during the ten-week program. In addition, interns will receive a signing bonus, housing, breakfast and lunch, and other perks.