A highly specialized machine learning internship at J.P. Morgan's Machine Learning Center of Excellence (MLCOE), focusing on advanced research and development of state-of-the-art machine learning methods. Ideal for PhD candidates or final-year PhD students with strong technical skills in machine learning, deep learning, and statistical techniques.
Conduct independent research exploring new machine learning methodologies through experimentation, conference participation, and knowledge sharing. Develop advanced machine learning models addressing complex real-world financial problems, including time-series predictions, market modeling, and decision optimization.
Requires a PhD or final-year PhD student in machine learning, statistics, mathematics, computer science, or related quantitative fields. Must demonstrate strong scientific thinking, ability to implement complex projects, understand business problems, write high-quality code, design experimental frameworks, and evaluate model performance against business objectives.
Offers a unique opportunity to work within J.P. Morgan's global technology infrastructure, with potential for full-time employment, direct project impact, integration into product pipelines, and potential research publication. Provides mentorship, professional development, engaging speaker series, and exposure to cutting-edge machine learning challenges across multiple business domains.
