JPMorgan Artificial Intelligence Research is committed to pioneering research in AI, Machine Learning, and related fields like Cryptography, with the aim of creating impactful solutions for our clients and businesses. Our team of experts collaborates with internal teams and global academic faculty to accelerate AI adoption within the firm and solve complex financial services problems. 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.
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. We, at JPMorgan Artificial Intelligence Research, have assembled a team of experts in many fields of Artificial Intelligence. We pursue primary research in areas related to our research pillars as well as concrete problems related to financial services. We partner with internal teams to accelerate the adoption of Artificial Intelligence within the firm. We also work with leading academic faculty around the world on areas of mutual interest. Our 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.
Job responsibilities
Conduct end-to-end research typically within a specialized focus area.Collaborate with internal and external researchers and applied engineering teams on multiple research projectsContribute 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 researchProduce high-impact business applications, open source software, patents and/or publications in AI/ML conferences and journalsParticipate 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, journalsExpertise 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 spiritClear and effective verbal and written communication skillsDemonstrated ability to work on multi-disciplinary teams with diverse backgroundsInterest in problems related to the financial services domain (specific past experience in the domain is not required)