Machine Learning Research Internship - PhD: 2027

About the role

The 2027 Machine Learning PhD Internship is a 10-week U.S.-based program for PhD candidates applying machine learning and data science to quantitative trading and finance. Interns conduct research, develop models, collaborate with researchers, developers, and traders, receive mentorship and education, and may progress to full-time placement in Hong Kong after graduation.

Responsibilities

• Research noisy, non-stationary datasets and develop machine learning models to identify meaningful patterns.
• Apply machine learning to quantitative trading, finance, predictive modeling, and strategic execution.
• Design and run experiments using current machine learning tools and frameworks.
• Collaborate with researchers, developers, and traders to improve models and explore algorithmic approaches.
• Extract signals from complex datasets using rigorous scientific methods and assess market behavior.
• Explore alpha generation, signal processing, model deployment, and risk-aware decision-making in quantitative finance.

Program Experience

• Receive one-on-one mentorship from experienced researchers and technologists.
• Participate in an education program covering machine learning, quantitative research, and trading practices.
• Work with the Machine Learning team on practical problems connecting research with implementation.
• Access financial data and computing resources while contributing to trading performance.

Program Details

• The internship lasts 10 weeks and is based in the United States.
• Full-time placement in the Hong Kong office is available upon graduation.
• Visa sponsorship is available for this position.