JPMorgan Software Engineer Multiple Positions Available 

United States, Texas, Plano 

404748922

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. Morgan’s 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 or industry experience.We especially welcome post-doctoral students, or people interested in a change of career as well.
• Strong background inProgramming,Mathematics and Statistics.
• Published research in areas ofmachine learning, science, engineering, quantitative psychology, or business related areas.
• Expected PhD graduation date of December 2026 through August 2027 or already graduated .
• Familiarity with state-of-the-art practice in these domains or knowledgesuch asFinance,Economics, Accounting, Marketing, Operation Research.
• Good background in various fields of mathematics and statistics, such asStochastic Calculus, Bayesian techniques, Statistics, State-Space models, MCMC, MCTS
• Knowledge and experience withMachine Learning andReinforcement Learning methods.
• Proficient in Python, and experience with machine learning and deep learning toolkitssuch asTensorFlow, TensorFlow Probability and Jax.
• 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 develop and debug production-quality code.
• Familiarity with continuous integration models and unit test development.
• Familiarity with the financial services industries
• Innovative problem-solvers with a passion for developing solutions that support our global business.
• Curious, hardworking, detail-oriented and motivated by complex analytical problems.
• Ability to work both independently and in highly collaborative team environment
• CFA, ACCA, or any other finance and accounting qualifications
• PCAP or any other programming or software engineering qualifications. Do mention any Coursera or other online certificates in your CV.