2026 Machine Learning Center of Excellence Summer Associate – Time Series & Reinforcement Learning Internship – (6 months)

The Machine Learning Center of Excellence (MLCOE) is a world-class machine learning team which continually advances state-of-the-art methods to solve a wide range of real-world financial problems using the companys vast and unique datasets.

As a 2026 Machine Learning Center of Excellence Summer Associate within our dynamic team you will be given the chance to utilize advanced machine learning techniques across a range of intricate domains such asfinance banking economics marketing natural language processing reinforcement learning accounting operations management

Job responsibilities:

• Create strategically important AI/ML application in the Chief Data & Analytics office. Our work spans across all of J.P. Morgans lines of business including Commercial & Investment Bank 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.
• Embrace opportunity to explore novel and complex challenges that could profoundly transform how the firm operates.
• Collaborate closely with our MLCOE mentors business professionals and technologists carrying out independent research and providing solutions to the business.
• Demonstrate deep passion for machine learning robust expertise in deep learning with practical implementation experience and a dedication to learning researching and experimenting with innovations in the field.

Required qualifications capabilities and skills

• • Enrolled in or completed a PhD in a quantitative discipline (e.g. Computer Science Electrical Engineering Mathematics Operations Research Optimization Data Science or related fields) or equivalent research/industry experience. Post-doctoral candidates and career changers are also welcome.
  • Expected PhD graduation between December 2026 and August 2027 or already graduated.
  • Strong background in programming mathematics and statistics including areas such as Stochastic Calculus Bayesian techniques State-Space Models MCMC and MCTS.
  • Published research in machine learning science engineering quantitative psychology business or related fields.
  • Knowledge and experience in Machine Learning and Reinforcement Learning along with familiarity with state-of-the-art practices and domains such as Finance Economics Accounting Marketing or Operations Research.
  • Proficiency in Python and experience with machine learning/deep learning frameworks such as TensorFlow TensorFlow Probability and JAX.
  • Scientific mindset with the ability to design experiments and training frameworks and define and evaluate model performance metrics aligned to business objectives.
  • Ability to develop debug and maintain production-quality code including familiarity with continuous integration and unit testing practices.
  • Strong written and verbal communication skills with the ability to explain technical concepts and results to both technical and business audiences.
  • Innovative curious hardworking detail-oriented and motivated by solving complex analytical problems; able to work independently and in highly collaborative team environments.
  • Familiarity with the financial services industry and relevant certifications such as CFA ACCA PCAP or other finance accounting programming software engineering Coursera or equivalent professional qualifications.