2026 Machine Learning Center of Excellence (Quant AI) Summer Associate
2026 Machine Learning Center of Excellence (Quant AI) Summer Associate
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$ 135000 - 155000
1 Vacancy
Job Description
The Machine Learning Center of Excellence (MLCOE) is a world-class ML team continually advancing state-of-the-art methods to solve a wide range of real-world financial problems using the companys vast and unique datasets. Strategically positioned in the Chief Technology Office our work spans across all of J.P. Morgans lines of business including Corporate & Investment Banking Asset Wealth Management Consumer & Community Banking and through every part of the organization from front office sales and trading to operations technology finance and more. With this unparalleled access to the firm this role offers a unique opportunity to explore novel and complex challenges that could profoundly transform how the firm operates.
As a Quant AI Summer Associate within the MLCOE you will be part of a group of technologists ML researchers and engineers who are passionate about machine learning and scale. This team works closely in exploring cutting-edge research and applying the latest Machine Learning techniques to J.P. Morgans unique data assets collaborating directly with traders portfolio managers quants data scientists and salespeople to drive the data-led transformation of our businesses.
Our Summer Associate Internship Program begins in June depending on your academic calendar. Your professional growth and development will be supported throughout the internship program via project work related to your academic and professional interests mentorship engaging speaker series with senior leaders and more. Full-time employment offers may be extended upon successful completion of the program.Learn more about our MLCOE team at responsibilities
- Research and explore new machine learning methods through independent study attending industry-leading conferences experimentation and participating in our knowledge sharing community
- Develop state-of-the art machine learning models to solve real-world problems and apply it to different tasks
- Collaborate with multiple partner teams such as Business Technology Product Management Legal Compliance Strategy and Business Management to deploy solutions into production
Required qualifications capabilities and skills
- Enrolled in a PhD or MS program in Computer Science Physics Mathematics Engineering or related quantitative field with an expected graduation date of December 2026 through August 2027
- Solid programming skills with C/C Python JAVA or other equivalent languages
- Deep knowledge in Machine Learning Data Mining Applied Mathematics Optimization and Statistics
- Knowledge with machine learning and deep learning toolkits (e.g. TensorFlow PyTorch JAX) and ETL pipelines both batch and real-time data processing
- Scientific thinking ability to design experiments and training frameworks and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
- Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
- Ability to work both independently and in highly collaborative team environments
Preferred qualifications capabilities and skills
- Interest in quantitative finance and/or portfolio management
- Knowledge withCPU GPU architecture high-performance computing and XLA compilers
- Experience in distributed system design and development
FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such an employment offer for this position is contingent on JPMorganChases review of criminal conviction history including pretrial diversions or program entries.
Required Experience:
IC
Employment Type
Full-Time
