2027 AI Research Associate Program - Internship
Salary not listed • New York, NY, United States • Internship
Posted 16d ago
No salary is listed. Many US states require employers to post a pay range, so ask about pay early.
Job Location
New York, NY, United States
Also open in LONDON, United Kingdom
Tech Stack
Remote Work Policy
On-site
Employment Type
Internship
Categories
AI Research Engineer
About the job
JPMorganChase AI Research is seeking a Research Scientist for their AI Research Associate Program. This global team focuses on developing novel AI capabilities and translating breakthrough AI/ML techniques into deployed solutions within financial services. The role involves working on commercially oriented research projects, formulating problems, developing new algorithms and models, conducting rigorous evaluations, and delivering high-quality code. You will collaborate closely with internal data scientists, applied engineering teams, and stakeholders across various business units. The position also requires contributing to high-impact business applications, reusable assets, and research initiatives, as well as providing thought leadership through publications and presentations.
Responsibilities
- Work on commercially oriented research projects in collaboration with internal data scientists, applied engineering teams, and business stakeholders.
- Formulate problems, generate hypotheses, develop new algorithms and models, and conduct experiments and evaluations.
- Synthesize and communicate research results effectively.
- Deliver well-tested, high-quality code for AI/ML solutions.
- Contribute to high-impact business applications, reusable assets, and research initiatives.
- Provide thought leadership through white papers, publications, and presentations.
Requirements
- Currently pursuing a PhD in Computer Science, Engineering, or a related field with relevant AI/ML research experience.
- Research publications in top-tier AI/ML venues (e.g., NeurIPS, ICML, ICLR, ICAPS, CRYPTO).
- Ability to deliver modular, optimized, high-quality Python code with tests.
- Deep understanding of fundamental AI/ML techniques and current state-of-the-art in a specific area of expertise.
- Practical experience with statistical data analysis, experimental design, and creating meaningful benchmarks and metrics.
- Effective verbal and written communication skills, capable of addressing both technical and business audiences.
- Motivated to impact problems in the financial services domain.
- Demonstrated curiosity, creativity, resourcefulness, and a collaborative spirit.
- Strong research track record in one of the following areas: Synthetic Data Generation, Hybrid Agent Architectures, Multimodal Information Discovery, Foundation Model Training for Structured Data, Reinforcement Learning/Continual Learning, Advanced Multi-Agent Systems, or Cryptography/Secure Multi-Party Computation.