2027 AI Research Associate Program - Internship
Salary not listed • LONDON, United Kingdom • Internship
Posted 16d ago
Job Location
LONDON, United Kingdom
Also open in New York, NY, United States
Tech Stack
Remote Work Policy
On-site
Employment Type
Internship
Categories
AI Research Engineer
About the job
JPMorgan Chase AI Research is a global team dedicated to developing novel AI capabilities and translating breakthrough AI/ML techniques into deployed solutions within financial services. The team focuses on areas such as multi-agent systems, foundation model training, reinforcement learning, multimodal document AI, formal reasoning, planning, verification, and synthetic data generation, with an emphasis on trustworthy, secure, reliable, and scalable AI. As a Research Scientist, you will work on developing innovative techniques, tools, and frameworks to address complex, large-scale problems, bridging early-stage innovation with production-scale delivery in collaboration with engineering and product teams.
Responsibilities
- Collaborate on commercially oriented research projects with internal data scientists, applied engineering teams, and business stakeholders.
- Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments, and evaluate results.
- Synthesize and communicate research findings, delivering well-tested, high-quality code.
- Contribute to high-impact business applications, reusable assets, products, 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 for both technical and business audiences.
- Motivated to impact problems in the financial services domain.
- Curiosity, creativity, resourcefulness, and a collaborative spirit.
- Strong research track record in one of the following areas: Synthetic Data Generation, Hybrid Agent Architectures (LLMs, AI planning, logic), Multimodal Information Discovery, Foundation Model Training for Structured Data, Reinforcement Learning/Continual Learning, Advanced Multi-Agent Systems, or Cryptography/Secure Multi-Party Computation.