Join JPMorgan Chase's Chief Data & Analytics Office (CDAO) as an AI Research Scientist - Senior Associate, where you'll accelerate the firm's data and analytics journey. Conduct cutting-edge AI research, including ML and related fields, to impact clients and businesses. Collaborate with experts across New York, London, Madrid, Paris, and the Bay Area to explore and advance AI research in financial services.
As an AI Research Scientist - Senior Associate within JPMorgan Chase's Chief Data & Analytics Office (CDAO), you will conduct end-to-end research within specialized focus areas like Natural Language Processing (NLP). You will collaborate on multiple research projects with internal and external researchers and applied engineering teams. Your output will result in high-impact business applications, open-source software, patents, and publications in AI/ML conferences and journals.
Job Responsibilities:
Conduct end-to-end research typically within Natural Language Processing (NLP). Collaborate with internal and external researchers and applied engineering teams. Engage in all aspects of the research lifecycle, including formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications, and communicating research significance. Produce outputs that lead to high-impact business applications, open-source software, patents, and publications in top AI/ML conferences and journals. Participate in relevant top-tier academic conferences to broaden the impact of your contributions.
Required Qualifications, Capabilities, and Skills:
PhD in Computer Science or related field, or an MS with commercial experience in the field. Research publications in prominent NLP venues (., conferences, journals). Strong expertise in one or more specialized areas of relevance (., LLM-based reasoning, foundational models, multimodal document analytics, knowledge representation, natural language processing and understanding). Experience in NLP/ML platforms such as TensorFlow/Keras, PyTorch, AWS, Hugging Face, etc. Proficiency with rapid prototyping and disciplined software development processes. Expertise in software engineering within collaborative project settings.
Preferred Qualifications, Capabilities, and Skills:
Extensive programming skills in Python, Java, or C++. Interest in problems related to the financial services domain (specific past experience in the domain is not required).
