2027 Machine Learning Center of Excellence (Quant AI) - Summer Associate
Salary not listed • Palo Alto, CA, United States • Full-time
Posted 4d ago
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Job Location
Palo Alto, CA, United States
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
Machine Learning Engineer
About the job
The Machine Learning Center of Excellence (MLCOE) at JPMorgan Chase partners across the firm to shape, create, and deploy Machine Learning Solutions for challenging business problems. As a Quant AI Summer Associate within the MLCOE, you will join a team of technologists, ML researchers, and engineers exploring cutting-edge research and applying the latest Machine Learning techniques to J.P. Morgan’s unique data assets. You will collaborate directly with traders, portfolio managers, quants, data scientists, and salespeople to drive the data-led transformation of our businesses. Our Summer Associate Internship Program offers professional growth and development through project work, mentorship, and engaging speaker series, with potential for full-time employment offers upon successful completion.
Responsibilities
- Research and explore new machine learning methods through independent study, experimentation, and knowledge sharing.
- Develop state-of-the-art machine learning models to solve real-world problems.
- Collaborate with partner teams to deploy solutions into production.
Requirements
- Enrolled in a PhD or MS program in Computer Science, Physics, Mathematics, Engineering, or a related quantitative field, with an expected graduation date between December 2027 and August 2028.
- Solid programming skills in C/C++, Python, JAVA, or equivalent languages.
- Deep knowledge in Machine Learning, Data Mining, Applied Mathematics, Optimization, and Statistics.
- Familiarity with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, JAX).
- Experience with ETL pipelines, including batch and real-time data processing.
- Scientific thinking, ability to design experiments and training frameworks, and to outline and evaluate model performance metrics aligned with business goals.
- Strong written and spoken communication skills for technical and business audiences.
- Ability to work independently and collaboratively.
Benefits
- Internship program with project work, mentorship, and speaker series.
- Potential for full-time employment offers.