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Chase · 3 months ago

2026 AI Research Associate Program - Internship

383 Madison Ave, New York, NY, 10179, US

Internship

Onsite

Intern

$135K/yr - $155K/yr

Start in 2026

Chase is a leading financial institution, and they are seeking an AI Research Associate Intern to join their AI Research team. The role involves conducting end-to-end research in AI, collaborating on multiple projects, and contributing to high-impact business applications and publications in the AI community.

BankingFinancial Services

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. As a member of the AI research community, you will also have the opportunity to participate in relevant top-tier academic conferences to broaden the impact of your contributions

Qualification

PythonMachine LearningStatistical Data AnalysisJavaC++Tensorflow/KerasPyTorchCuriosityResourcefulnessVerbal CommunicationWritten CommunicationCollaborationCreativity

Required

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

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)

Preferred

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