JPMorgan AI Research Senior Associate - Tech 

United Kingdom, England, London 

442718122

Join J.P. Morgan AI Research, where you'll explore and advance cutting-edge AI research to develop impactful solutions for our clients and businesses.

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, 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.

Required Qualifications, Capabilities, and Skills:

• Master's 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 multi-disciplinary 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.
• Hands-on experience developing and using large language models in a professional setting.