JPMorgan Chase & Co.
2026 Machine Learning Center of Excellence (NLP)-Internship
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
2026 Machine Learning Center of Excellence (NLP)-Internship
Summer Analytics Associate Internship – Machine Learning Center of Excellence
The Chief Data & Analytics Office (CDAO) at JPMorgan Chase accelerates the firm’s data and analytics journey. As part of this office, the Machine Learning Center of Excellence (MLCOE) collaborates across the firm to shape, create, and deploy machine learning solutions for critical business challenges. This includes ensuring data quality, integrity, and security, leveraging data for insights, and driving AI-driven innovation—whether by developing new products, improving productivity, or advancing risk management.
About the Role
As a Summer Analytics Associate Intern within the MLCOE, you’ll apply advanced machine learning techniques to diverse industries, including:
- Natural Language Processing (NLP)
- Large Language Models (LLMs)
- Speech Recognition & Understanding
- Reinforcement Learning
- Recommendation Systems
You’ll:
- Work alongside MLCOE mentors, business experts, and technologists
- Conduct independent research and deploy solutions in production
- Contribute to and learn from a global, world-class machine learning team
The Summer Associate Internship Program begins in June (aligned with academic calendars). Successful participants may receive full-time employment offers within a hybrid work model.
Responsibilities
- Research and explore cutting-edge machine learning methods, including:
- Independent study
- Participation in industry-leading conferences
- Experimentation and knowledge-sharing within the team
- Develop state-of-the-art machine learning models to solve real-world business problems, such as:
- Natural Language Processing (NLP)
- Speech recognition and analytics
- Time-series forecasting
- Recommendation systems
- Collaborate with cross-functional teams, including:
- Business, Technology, Product Management
- Legal & Compliance
- Strategy & Business Development
- Deploy solutions into production environments with regulatory and performance considerations.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
Required Qualifications, Skills & Capabilities
- Currently enrolled in a PhD or MS in a quantitative discipline, such as:
- Computer Science
- Electrical Engineering
- Mathematics
- Operations Research
- Optimization
- Data Science
- OR equivalent research/industry experience
- Expected graduation between December 2026 and August 2027
- Strong theoretical and practical background in:
- NLP, large language models, speech recognition, or recommendation systems
- Familiarity with state-of-the-art industry practices
- Proficiency in Python and hands-on experience with machine learning/deep learning toolkits, including:
- TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas
- Strong scientific and experimental design skills, including:
- Ability to develop training frameworks
- Design evaluation metrics (intrinsic/extrinsic) aligned with business goals
- Exceptional written and verbal communication for:
- Technical audiences (e.g., engineers, researchers)
- Business stakeholders (translating ML insights for decision-making)
- Ability to work independently while contributing to highly collaborative team environments.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Preferred Qualifications, Skills & Capabilities
- Advanced knowledge of Mathematics and Statistics
- Familiarity with the financial services industry
- Published research in AI/ML at a major conference or journal, particularly in:
- NLP, deep learning, reinforcement learning
- Experience in debugging production-quality code
- Proficiency in CI/CD pipelines and unit testing frameworks
- Previous experience in speech recognition, recommendation systems, or deep learning research.
About J.P. Morgan
As a global leader in financial services, J.P. Morgan delivers tailored solutions to Fortune 500 companies, governments, and institutional investors through strategic advice and advanced technology. Our commitment to diversity, inclusion, and employee development drives innovation and long-term client success.
Diversity, Equity & Inclusion Commitment
J.P. Morgan is an equal opportunity employer. We promote a culture of belonging where all people—regardless of race, religion, color, national origin, gender, sexual orientation, gender identity, age, disability, or veteran status—can thrive. We provide reasonable accommodations for applicants (e.g., accommodations for disabilities, religious practices, or medical needs).
For more details, visit: FAQs on Accommodations
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location