The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.
As an AI Research Scientist - Senior Associate on the AI Research team, you will conduct end-to-end research typically within a specialized focus area and 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/or publications in AI/ML conferences and journals. The goal of J.P. Morgan AI Research is to explore and advance cutting-edge research in AI, including ML as well as related fields like Cryptography, impacting clients and businesses, with a team of experts located in New York, London, Madrid, Paris, and the Bay Area. Conducting AI research in financial services offers unique and exciting opportunities for impact to both J.P. Morgan and the broader AI community.
Job responsibilities
Conduct end-to-end research typically within Natural Language Processing (NLP) Collaborate with internal and external researchers and with applied engineering teamsEngage in all aspects of the research lifecycle such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications and communicating the significance of your researchProduce outputs that lead to high-impact business applications, open source software, patents and/or publications in top AI/ML conferences and journalsParticipate 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 a MS with at least 3 years of experience in the fieldResearch publications in prominent NLP venues; e.g., conferences, journalsStrong expertise in one or more specialized areas of relevance e.g., LLM-based reasoning, foundational models, multimodal document analytics, knowledge representation, natural language processing and understandingExperience in NLP/ML platforms such as Tensorflow/Keras, PyTorch, AWS, Hugging Face, etc.Proficiency with rapid prototyping and disciplined software development processesExpertise 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)