2027 AI Research Associate Program - Internship

JPMorganChase AI Research is a global team of research scientists, engineers and product managers that develops novel AI capabilities and partners across the firm to translate breakthrough AI/ML techniques into deployed solutions.

The team brings together researchers across multi-agent systems, foundation model training, reinforcement and continual learning, multimodal document AI, formal reasoning, planning and verification, and synthetic data generation - alongside experts in trustworthy AI, privacy, and cryptography - to solve hard problems end-to-end in ways that are secure, reliable, and scalable in financial services.

AI Research sits within the Chief Data & Analytics Office (CDAO) at JPMorganChase which is responsible for accelerating the firm's data and analytics journey.

This includes ensuring the quality, integrity, and security of the firm's data, as well as leveraging this data to generate insights and drive decision-making.

The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management, effectively and responsibly.

As a Research Scientist in AI Research, you will work on developing novel techniques, tools, and frameworks to model and solve complex large-scale problems in the bank.

You will develop a close understanding of the challenges in practical applications of AI and leverage that understanding to formulate new research directions and solutions that can shift the frontier.

Your work will span from early-stage innovation and rigorous evaluation to production-scale delivery in close collaboration with engineering and product teams.

Job responsibilities


* Work on commercially oriented research projects in collaboration with internal data scientists, applied engineering teams and stakeholders across businesses e.g.

Commercial & Investment Banking (including Markets), Asset & Wealth Management, Consumer & Community Banking, etc.


* Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments and rigorous evaluations, synthesize and communicate results, and deliver well-tested, high-quality code.


* Contribute to high-impact business applications, reusable assets and products, and research initiatives.


* Provide thought leadership on internal and external forums through white papers, publications and presentations.

Required qualifications, capabilities, and skills


* Currently pursuing a PhD in Computer science, Engineering, or related fields with relevant research experience in AI/ML


* Research publications in top-tier AI/ML venues (e.g., conferences, journals) - broad conferences such as NeurIPS, ICML, ICLR, etc., or highly regarded specialized conferences such as ICAPS, CRYPTO, etc.


* Ability to deliver modular, optimized, high-quality Python code with tests


* D...