Explainable AI Researcher - London XAI Centre of Excellence - ED / VP / Associate
Location: London, United Kingdom
Type: Full Time
Internal Number: 10980849
The goal of J.P. Morgan AI Research is to explore and advance cutting-edge research in AI, including ML as well as related fields like Cryptography, to develop and discover principles of impact to J.P. Morgan???s clients and businesses.
J.P. Morgan AI Research has assembled a team of experts in many fields of AI. 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 AI 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 AI research in financial services offers unique and exciting opportunities for impact -- as a member of this highly visible team, you will have the opportunity to realize significant impact not only within J.P. Morgan but also to the broader AI community.
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, generating hypotheses, developing new algorithms and models, conducting experiments, synthesizing results, gathering data, building prototypes and communicating the significance of your research.
Your output will result in publications in AI/ML conferences and journals, high-impact business applications, open source software and patents.
As a member of the AI research community, you will also have the opportunity to participate in relevant top-tier academic conferences, organize workshops and engage with the community to broaden the impact of your contributions.??
PhD in Computer Science (especially AI/ML) or related fields
Research publications in prominent AI/ML venues; e.g., conferences, journals
Strong expertise, interest, and track record of performing cutting-edge research on Explainable AI (XAI).
Practical experience with ML platforms such as Tensorflow/Keras, PyTorch, etc.
Comfort with rapid prototyping and disciplined software development processes
Practical software engineering experience in collaborative project settings
Masters degree in Computer Science, Statistics, Engineering or related fields
Programming skills in Python, Java or C++
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 (specific past experience in the domain is not required)
The hiring manager for this job opening would welcome a conversation about flexible working.??This could range from ad hoc flexibility in a full time position, to a more formal Flexible Work Arrangement.