About this role
At JPMorgan Chase, AI is transforming how we operate on a global scale. We invest over $18 billion annually in technology, including innovation, data, and security, to shape the future for our clients, communities, and employees. Housed within The Chief Data & Analytics Office (CDAO), the Machine Learning Center of Excellence (MLCOE) creates and deploys AI and machine learning solutions for complex business challenges across flagship AI deployments at the firm. Our solutions power financial products, boost productivity, and strengthen risk management across the firm.
As a Summer Associate within MLCOE, you will apply advanced LLM and agentic AI methods to complex problems in areas such as natural language processing, question answering, speech recognition and understanding, reinforcement learning, post-training and recommendation systems. Working alongside MLCOE mentors, business experts, and technologists, you will own a research project from start to finish. This role offers hands-on experience solving real business problems at scale while learning from experienced AI researchers and engineers. Learn more about MLCOE 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 a direct impact on JPMorgan's businesses, will be integrated into our product pipelines, or be part of published research in top AI conferences. Full-time employment offers may be extended upon successful completion of the program within our hybrid work model.
Job responsibilities
Perform exploratory data analysis, feature engineering, model development, and evaluation using structured and unstructured datasetsDesign and build prototypes of agentic AI systems, including multi-step workflows that use tools and reason across tasksApply and experiment with LLM techniques such as retrieval-augmented generation, tool and function calling, fine-tuning, and agent harness designDevelop evaluation frameworks to measure the quality, reliability, and safety of LLM and agent outputsCollaborate with mentors, business stakeholders, and engineers to turn business problems into AI solutions and help move them toward productionDocument methodology, assumptions, and results so work can be reproduced, and present findings and key learnings to technical and business audiencesRequired qualifications, capabilities, and skills
Currently enrolled in a PhD or MS program in Computer Science, Electrical Engineering, Mathematics, Operations Research, Data Science, or a related quantitative field, with an expected graduation date between December 2027 and August 2028Solid background in at least one of: large language models and agentic AI, natural language processing, speech recognition, or personalization/recommendation, with familiarity with current state-of-the-art methodsStrong foundation in statistics, probability, and machine learning, including the ability to design experiments and define metrics that reflect business goalsHands-on exposure to modern LLM application patterns such as prompting, embeddings, retrieval-augmented generation, tool/function calling, structured outputs, and multi-step or agentic workflowsStrong Python skills, including deep learning frameworks (PyTorch or TensorFlow), the Hugging Face ecosystem, and core data libraries (NumPy, Pandas, scikit-learn)Clear written and spoken communication for both technical and business audiences, and the ability to work both independently and on a teamPreferred qualifications, capabilities, and skills
Experience building LLM-powered prototypes that connect models to tools, APIs, documents, databases, or search systems, using frameworks such as LangGraph, Google ADK, LangChain, LlamaIndex, or Semantic KernelExperience with fine-tuning or post-training (e.g., TRL) and with building evaluation frameworks for LLM or agent outputsPublished research in agentic AI, NLP, speech, reinforcement learning, etc at a major conference or journalAbility to write and debug production-quality codeFamiliarity with the financial services industry#MLCOE_jobs
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
Skills:
Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, Asset Management, Business Banking, Commercial Banking, Computer Science, Conferences, Data Analysis, Data Science, Debugging Skills, Diversity, Electrical Engineering, Experiment Design, Financial Services, Financial Transactions, Government, Information/Data Security (InfoSec), Investment Services, Kernel Programming, Machine Learning, Mathematics, Mentoring, Metrics, Modeling Languages, Natural Language Processing (NLP), Operations Research, Presentation/Verbal Skills, Problem Solving Skills, Prototyping, Quality Metrics, Reinforcement Learning, Risk Management, Safety/Work Safety, Small Business, Speech Recognition, Statistics, Training Data Sets, Transaction Processing/Management, Writing Skills
JPMorgan Chase & Co
Company:
JPMorgan Chase & Co
Level of experience (years):
Senior (5+ years of experience)
How to apply:
Please mention NLP People as a source when applying