NLP/ML Intern: Memory-Augmented LLMs for Finance

CFM; Paris; On-site; EUR 11,000 - 16,000; Part time

Job summary

CFM in Paris invites applications for an internship focused on memory-augmented language models for financial text. You will explore maintaining a compact memory of a company’s disclosure history as new documents arrive, updating incrementally and efficiently.

The role requires strong ML/NLP skills, familiarity with LLMs, and the ability to read and implement research papers. A finance-interest is a plus, and collaboration with a driven team is expected.

Qualifications

• Currently enrolled in final year of engineering or Master’s in NLP/ML/CS.
• Solid understanding of LLMs and sequence modeling.
• Ability to read and implement research papers.

Responsibilities

• Design and compare memory-augmented strategies for updating with new documents.
• Build baselines, including a retrieval-based system.
• Evaluate representations for faithfulness to source documents and usefulness for financial prediction tasks.
• Read and implement research papers.

Skills

LLMs & sequence modelling

Read/Implement research papers

NLP fundamentals

Education

Final-year engineering or Master’s student in NLP/ML/Math/CS

Tools

Retrieval-Augmented systems

Reinforcement learning for LLMs

Job description

CFM in Paris invites applications for an internship focused on memory-augmented language models for financial text. You will explore maintaining a compact memory of a company’s disclosure history as new documents arrive, updating incrementally and efficiently.

The role requires strong ML/NLP skills, familiarity with LLMs, and the ability to read and implement research papers. A finance-interest is a plus, and collaboration with a driven team is expected.