The Machine Learning Center of Excellence (MLCOE) at J.P. Morgan is looking to solve a wide range of real-world financial problems using the company's vast and unique datasets by advancing state-of-the-art machine learning methods.
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
- 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, deep learning, or reinforcement learning at a major conference or journal
- Published research in areas of natural language processing, speech recognition, reinforcement learning, or deep learning at a major conference or journal
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
- Apply sophisticated machine learning methods to a diverse range of complex domains, including natural language processing, large language models, speech recognition and understanding, reinforcement learning, and recommendation systems
- Conduct independent research and deploying solutions into production
- Contribute to and learn from a world-class machine learning team
- 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
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
- Familiarity with the financial services industries
