2025 Machine Learning Center of Excellence -(NLP) Summer Associate

mains. These include natural language processing, large language models, speech recognition and understanding, reinforcement learning, and recommendation systems. We value collaboration and expect you to work closely with our MLCOE mentors, business experts, and technologists. Your role will involve conducting independent research and deploying solutions into production. We are looking for team members with a strong passion for machine learning, solid expertise in deep learning, and hands-on implementation experience. We encourage you to invest time in learning, researching, and experimenting with innovations in the field. Learn more about our MLCOE team at jpmorgan.com/mlcoe.

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, an engaging speaker series with our senior leaders and more. Your project will have direct impact on JPMorgan's businesses, will be integrated into our product pipelines, or be part of published research in top AI/ML conferences. Full-time employment offers may be extended upon successful completion of the program within our hybrid work model.

Job 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 tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems

• 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 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,

• Expected graduation date of December 2025 through August 2026

• Solid background in NLP, large language models, speech recognition and modelling, or personalization/recommendation. Familiarity with state-of-the-art practice in these domains

• Proficient in Python, and experience with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)

• 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

• Curious, hardworking, detail-oriented and motivated by complex analytical problems

• Ability to work both independently and in highly collaborative team environments

Preferred qualifications, capabilities, and skills

• Strong background in Mathematics and Statistics

• Familiarity with the financial services industries

• Published research in areas of natural language processing, deep learning, or reinforcement learning at a major conference or journal

• Ability to develop and debug production-quality code

• Familiarity with continuous integration models and unit test development

• Published research in areas of natural language processing, speech recognition, reinforcement learning, or deep learning at a major conference or journal

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.