DescriptionJoin J.P. Morgan AI Research where youll explore and advance cuttingedge AI research to develop impactful solutions for our clients and businesses.
As an AI Research Scientist within J.P. Morgan AI Research youll work on novel techniques tools and frameworks to model and solve complex largescale problems. Youll collaborate with experts in Natural Language Processing and contribute to highimpact 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 highimpact business applications opensource 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 highimpact business applications opensource software and patents.
- Participate in relevant toptier academic conferences organize workshops and engage with the AI research community to broaden the impact of your contributions.
Required Qualifications Capabilities and Skills:
- Masters 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 multidisciplinary 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.
- Handson experience developing and using large language models in a professional setting.
Required Experience:
Senior IC