JPMorgan Chase is looking to accelerate its data and analytics journey by ensuring the quality, integrity, and security of its data, leveraging data to generate insights and drive decision-making, and developing solutions that support commercial goals by harnessing artificial intelligence and machine learning technologies.
Requirements
- 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
- Research publications in prominent AI/ML or Software Engineering venues (e.g., conferences, journals)
- Strong expertise in Trustworthy AI topics like explainability, safety, robustness, fairness
- Hands-on experience in developing and using multimodal foundation models
- Practical experience with ML platforms such as TensorFlow/Keras, PyTorch
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
Other
- PhD in Computer Science, Statistics, Engineering, or related fields
- 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
