J.P. Morgan's Machine Learning Center of Excellence (MLCOE) is looking to solve a wide range of real-world financial problems using state-of-the-art machine learning methods and the company's vast and unique datasets.
Requirements
- 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
- Strong background in Mathematics and Statistics
- Familiarity with continuous integration models and unit test development
- Ability to develop and debug production-quality code
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
Other
- 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 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
