JPMorgan Machine Learning Center Excellence - NLP Summer Associate 

United Kingdom, England, London 

375989984

Job 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

Required qualifications, capabilities, and skills

• 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 2025 through August 2026
• 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

Preferred qualifications, capabilities, and skills

• 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