What are the responsibilities and job description for the AI Research Scientist - Senior Associate position at JPMorgan Chase?
The goal of JPMorgan Artificial Intelligence Research is to explore and advance cutting edge research in Artificial Intelligence, including Machine Learning as well as related fields like Cryptography, to develop and discover principles of impact to JPMorgan’s clients and businesses.
As an AI Research Scientist within the AI Research team, you will have the opportunity to realize significant impact not only within JPMorgan Chase but also to the broader Artificial Intelligence community. JPMorgan Artificial Intelligence Research has assembled a team of experts in many fields of Artificial Intelligence. They pursue primary research in areas related to our research pillars as well as concrete problems related to financial services. They partner with internal teams to accelerate the adoption of Artificial Intelligence within the firm. They also work with leading academic faculty around the world on areas of mutual interest. The team is headquartered in New York and present in London and the Bay Area. Conducting Artificial Intelligence research in financial services offers unique and exciting opportunities for impact.
The AI Agents team within AI Research is focused on the development of agents that leverage LLMs / foundation models as well as core AI techniques to build multi-agent systems that can solve complex tasks in a scalable manner or simulate interactions and behaviors in complex economic systems.
Job responsibilities
- As a Research Scientist in the team, you will conduct end-to-end research typically within a specialized focus area. You will work on multiple research projects in collaboration with internal and external researchers and with applied engineering teams.
- You will be integral to 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 research.
- Your output will result in high-impact business applications, open-source software, patents and/or publications in security/safety conferences and journals.
- As a member of the Artificial Intelligence and security/safety research community, you will also have the opportunity to participate in relevant top-tier academic conferences to broaden the impact of your contributions.
Required qualifications, capabilities and skills
- PHD with relevant work experience or Master’s degree with 3 years of relevant work experience in Computer Science, Statistics, Engineering, or related fields. Research publications in prominent AI/ML venues, e.g., conferences, journals
- Expertise in a related area e.g., LLM-based agents, planning, reinforcement learning, online learning, bandits, game theory, mechanism design and agent-based modeling.
- Practical experience with ML platforms such as PyTorch, Tensorflow/Keras, etc.
Preferred qualifications, capabilities, and skills
- Curiosity, creativity, resourcefulness, and a collaborative spirit
- Clear and effective verbal and written communication skills
- 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)
