JPMorgan Chase

2 weeks ago


London, United Kingdom Abs Data Full time

Job title: 2024 Machine Learning Center of Excellence Summer Associate – NLP, Speech & Recommender Systems Internship – (6 months)
JPMorgan Chase
Job Description: The Machine Learning Center of Excellence (MLCOE) is a world-class machine learning team which continually advances state-of-the-art methods to solve a wide range of real-world financial problems using the company’s vast and unique datasets.
Strategically positioned in the Chief Technology Office, our work spans across all of J.Morgan’s lines of business including Corporate & Investment Banking, Asset Wealth Management, Consumer & Community Banking, and through every part of the organization from front office sales and trading, to operations, technology, finance and more. The successful candidate will apply sophisticated machine learning methods to a wide variety of complex domains within natural language processing, large language models, speech recognition and understanding, reinforcement learning, and recommendation systems. The candidate must excel in working in a highly collaborative environment with their MLCOE mentors, business experts and technologists in order to conduct independent research and help deliver solutions to the business. The candidate must have a strong passion for machine learning, solid expertise in deep learning with hands-on implementation experience, and invest independent time towards learning, researching, and experimenting with innovations in the field. Our Summer Associate Internship Program begins in June, depending on your academic calendar. Your professional growth and development will be supported throughout the internship program via project work related to your academic and professional interests, mentorship, an engaging speaker series with our senior leaders and more. 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. Full-time employment offers may be extended upon successful completion of the program within our hybrid work model.
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 2024 through August 2025
Solid background in NLP, large language models, speech recognition and modelling, or personalization/recommendation. Proficient in Python, and experience with machine learning and deep learning toolkits (e.g., 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
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
We will review summer internship applications as they are received and extend offers on a rolling basis. We strive to hire qualified, diverse candidates, and we will provide reasonable accommodations for known disabilities.
Visit for upcoming events, career advice, our locations and more.
Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our for more information about requesting an accommodation.
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