JPMorgan AI Research Associate Program - Internship 

United States, New York, New York 

977471440

Responsibilities:

As a Research Scientist on the team, you will conduct end-to-end research typically within a specialized focus area. 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, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications and communicating the significance of your research.

Preferred Qualifications:

• Currently pursuing a PhD in Computer Science (especially AI/ML) or related field.
• 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
• Practical software engineering experience in collaborative project settings

Minimum Requirements:

• Currently pursuing a Master’s degree in Computer Science, Statistics, Engineering or related fields.
• 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

Professional Skills:

• Curiosity, creativity, resourcefulness and a collaborative spirit
• Clear and effective verbal and written communication skills
• 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)