Machine Learning Discovery Summit (On-site)
About The Position
This two-day, on-site Discovery Summit is designed for students studying machine learning who are curious about how research is applied in financial markets. Participants will learn about Susquehanna’s machine learning teams, which develop methods for prediction and decision-making—including deep learning, reinforcement learning, and agentic AI—and build high-performance systems to deploy those ideas at scale. The summit offers exposure to how researchers and engineers apply machine learning techniques such as deep learning, sequence modeling, and large-scale optimization to noisy, fast-moving financial data. Participants will explore real problems the teams work on and how models move from experimentation to live trading. Activities include technical sessions, discussions with researchers and engineers, trading games, conversations with junior researchers who moved from academia to industry, and a trading floor tour. No finance background is required; participants will be taught the necessary market concepts.
Requirements
- Currently pursuing a Bachelor's, Master's, or PhD in computer science, machine learning, electrical engineering, mathematics, physics, statistics, or a related technical field.
- Hands-on experience building, training, and evaluating machine learning models.
- A track record of in-depth research, ideally with publications or substantial independent projects.
- Strong programming skills and comfort working with large datasets.
- Curiosity about applying rigorous research methods to messy, real-world data.
Nice To Haves
- Publications or substantial independent projects demonstrating in-depth research.
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What This Job Offers
Career Level
Intern
Education Level
No Education Listed
