J.P. Morgan AI Research is looking 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.
Requirements
- Extensive 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
- Research publications in prominent AI/ML venues; e.g., conferences, journals
- Strong expertise in one or more specialized areas of relevance to AI in Finance, e.g., LLM-based reasoning, foundational models, AI agents, planning, scheduling and optimization, AI search, multimodal document analytics, AI for coding, knowledge representation, reasoning under uncertainty, task-focused trustworthy AI, cryptography for AI, continuous learning from experience, image and language processing and understanding, large-scale complex data analytics, synthetic data and behavior understanding
- Practical experience with ML platforms such as Tensorflow/Keras, PyTorch, etc.
- Comfort with rapid prototyping and disciplined software development processes
Responsibilities
- 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 AI/ML conferences and journals.
Other
- Currently pursuing a Master’s degree in Computer Science, Statistics, Engineering or related fields.
- Demonstrate clear and effective verbal and written communication skills, also has curiosity, creativity, resourcefulness and a collaborative spirit
- Demonstrate 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)
- Currently pursuing a PhD in Computer Science (especially AI/ML) or related field.
