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.
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:
- PhD 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
Preferred Qualifications, Capabilities, and Skills:
- Research publications in prominent AI/ML venues (e.g., conferences, journals).
- Expertise in Trustworthy AI topics like explainability, safety, robustness, fairness.
- Expertise in developing and using multimodal foundation models.