JPMorgan Chase's Chief Data & Analytics Office (CDAO) aims to accelerate the firm's data and analytics capabilities, focusing on data quality, integrity, security, and leveraging data for insights and decision-making. The CDAO also develops AI/ML solutions to create new products, enhance productivity, and improve risk management.
Requirements
- Research publications in prominent NLP venues; e.g., conferences, journals
- Strong expertise in one or more specialized areas of relevance e.g., LLM-based reasoning, foundational models, multimodal document analytics, knowledge representation, natural language processing and understanding
- Experience in NLP/ML platforms such as Tensorflow/Keras, PyTorch, AWS, Hugging Face, etc.
- Proficiency with rapid prototyping and disciplined software development processes
- Expertise in software engineering within collaborative project settings
- Extensive programming skills in Python, Java or C++
Responsibilities
- Conduct end-to-end research typically within Natural Language Processing (NLP)
- Collaborate with internal and external researchers and with applied engineering teams
- Engage in 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
- Produce outputs that lead to high-impact business applications, open source software, patents and/or publications in top AI/ML conferences and journals
- Participate in relevant top-tier academic conferences to broaden the impact of your contributions
Other
- PhD in Computer Science or related field or a MS with at least 3 years of experience in the field
- Interest in problems related to the financial services domain (specific past experience in the domain is not required)
