Job Description

Join J.P. Morgan AI Research, where you'll explore and advance cutting-edge AI research to develop impactful solutions for our clients and businesses.





As an AI Research Scientist within J.P. Morgan AI Research, you'll work on novel techniques, tools, and frameworks to model and solve complex large-scale problems. You'll collaborate with experts in Natural Language Processing and contribute to high-impact business applications and the broader AI community. You will work on multiple research projects in collaboration with internal and external researchers and applied engineering teams. Your role involves formulating problems, generating hypotheses, developing algorithms and models, conducting experiments, and communicating research significance. Your output will result in publications, high-impact business applications, open-source software, and patents.

Job Responsibilities:

Work on multiple research projects in collaboration with internal and external researchers and applied engineering teams. Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments, synthesize results, gather data, build prototypes, and communicate research significance. Contribute to publications in AI/ML conferences and journals, high-impact business applications, open-source software, and patents. Participate in relevant top-tier academic conferences, organize workshops, and engage with the AI research community to broaden the impact of your contributions.

Required Qualifications, Capabilities, and Skills:

Master's degree in Computer Science, Statistics, Engineering, or related fields. Programming skills in Python. Proficient understanding of fundamental AI and ML techniques (e.g., A, regularization).
Practical experience with statistical data analysis and experimental design. Curiosity, creativity, resourcefulness, and a collaborative spirit. Effective verbal and written communication skills with technical and business audiences. Demonstrated ability to work on multi-disciplinary teams with diverse backgrounds. Interest in problems related to the financial services domain (specific past experience in the domain is not required).

Preferred Qualifications, Capabilities, and Skills:

PhD in Computer Science (especially AI/ML) or related fields. Research publications in prominent AI/ML or Software Engineering venues (e.g., conferences, journals). Strong expertise in specialized areas such as deep learning (DL) or natural language processing (NLP). Practical experience with ML platforms such as TensorFlow/Keras, PyTorch. Comfort with rapid prototyping and disciplined software development processes. Practical software engineering experience in collaborative project settings. * Hands-on experience developing and using large language models in a professional setting.