2026 Machine Learning Center of Excellence (NLP)-Internship
On-siteLondon, England, United Kingdom
Job Summary
Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation, and participating in the knowledge sharing community. Develop state-of-the-art machine learning models to solve real-world problems in natural language processing, speech recognition, time-series predictions, or recommendation systems. Collaborate with partner teams including Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management to deploy solutions into production. Your project will have direct impact on JPMorgan's businesses, be integrated into 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 the hybrid work model.
Required Qualifications
- 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 2026 through August 2027
- 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
- Ability to work both independently and in highly collaborative team environments
Desired Qualifications
- 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
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