You will help building a scalable, mathematically grounded system that maps short text into hierarchical knowledge structures.
Overview
£0
London, EC1M 6BB
Expires at anytime
What will you be doing?
Responsibilities You will work as part of a small research pod on:
apply Variational Inference principles to tackle model section problem for Hierarchical Topic Modeling, and related features
What are we looking for?
Skills Required: Strong background in Statistical Machine Learning, especially:
Variational Inference, casual inference Can read Python code Strong math skills
Desirable skills:
Research mindset: ability to read, implement, and critique academic papers Familiarity with NLP pipelines (transformers, embedding models, sentence encoders)Some theoretical knowledge on the dataset geometry that is non-euclidean and stratified. Manifold hypothesis has been empirically shown to be wrong in language modeling
What difference will you make?
You will help to fight misinformation and increase everyone's critical thinking