2027 Machine Learning Center of Excellence - Time Series and Reinforcement Learning (TSRL) - Summer Associate
Salary not listed • New York, NY, United States • Full-time
Posted 3d ago
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Job Location
New York, NY, 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) within JPMorgan Chase's Chief Data & Analytics Office (CDAO) partners across the firm to develop and deploy Machine Learning solutions for complex business challenges. The CDAO leverages data and AI/ML technologies to generate insights, drive decision-making, develop new products, improve productivity, and enhance risk management. As a Time Series and Reinforcement Learning Summer Associate, you will join a team of technologists and researchers exploring cutting-edge ML research and applying advanced techniques to J.P. Morgan's data assets. You will collaborate directly with business stakeholders to drive a data-led transformation. The internship program includes project work, mentorship, and speaker series, with potential for full-time offers upon successful completion.
Responsibilities
- Research and explore new machine learning methods through independent study, conferences, experimentation, and knowledge sharing.
- Develop state-of-the-art machine learning models to solve real-world problems and apply them to various tasks.
- Collaborate with partner teams (Business, Technology, Product Management, Legal, Compliance, Strategy, Business Management) to deploy solutions into production.
Requirements
- Currently enrolled in a PhD or MS program in Econometrics, Finance/Accounting, Mathematics, Computer Science, Operations Research, or a related quantitative field.
- 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.
- Strong scientific thinking, ability to design experiments and training frameworks, and outline/evaluate model performance metrics aligned with business goals.
- Effective written and spoken communication skills for technical and business audiences.
- Ability to work both independently and collaboratively in team environments.
Benefits
- Summer Associate Internship Program
- Mentorship
- Engaging speaker series with senior leaders
- Potential for full-time employment offers