Drimva

JPMorgan Chase

2027 AI Research Associate Program - Internship

$135K–$155K

New York, NY · Internship · Posted Oct 14, 2026

Experience
Relevant AI/ML research experience; no number of years stated.
Education
Currently pursuing a PhD in Computer Science, Engineering, or a related field.

About the job

Develops and evaluates novel AI/ML methods for complex financial-services problems, collaborating with research, engineering, and business teams to deliver production-scale solutions.

What you'll do

  • Conduct commercially oriented research with internal data scientists, engineers, and business stakeholders.
  • Formulate research problems, develop and evaluate algorithms and models, and deliver tested code and results.
  • Contribute to business applications and research initiatives, and communicate findings through publications, presentations, and white papers.

What they ask for

  • 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.
  • Ability to write modular, optimized, high-quality Python code with tests.
  • Strong research record in at least one of the specified AI/ML areas, such as synthetic data, agent systems, multimodal AI, foundation models, reinforcement learning, or privacy-preserving ML.

Nice to have

  • Practical experience with ML libraries, agent frameworks, or formal verification tools and languages.
  • Collaborative software development experience, or experience translating business requirements into production solutions.

Pay

$135,000.00-$155,000.00 USD base salary

Tools

Python, PyTorch, TensorFlow/Keras, HuggingFace Transformers, LangGraph, Google ADK, Coq/Isabelle/Lean, TLA+

AI focus

Research and develop AI/ML methods, including synthetic data generation, agent architectures, multimodal discovery, foundation models, reinforcement and continual learning, multi-agent systems, and privacy-preserving ML.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)