Machine Learning/NLP - London

  • microTECH Global Ltd
  • Feb 22, 2022
Full time Engineering

Job Description

JOB AD:

We are currently looking for a Research Scientist - Natural Language Processing (NLP) to join a London Research Center.

In this role, you will have the chance to work on projects that impacting millions of people by analyzing and understanding textual content through innovating and applying advanced NLP, machine learning and deep learning technologies.

Key Responsibilities:

Carry out state-of-the-art (SOTA) NLP research, such as knowledge graph, key information extraction at different granular levels from texts, textual content understanding and text generation etc.

Apply SOTA NLP techniques to practical scenarios such as search and recommendation, while preserving user privacy Literature review and investigate the SOTA NLP technologies regarding specific projects Dataset acquisition Build models with novelty, applicability, and practicality in mind.

Model evaluation and iteration

Navigate ambiguity that might occur in the projects or relationship with stakeholders Building a demonstration system to showcase the value of strength Write documentation, research papers, or patent application (whichever applicable)

Position Requirements:

· PhD or equivalent Master's Degree plus 4+ years in computing-related fields (such as Computer Science, Engineering, Mathematics, Physics) · Publication track records in top tier Computing/NLP/AI/ML conferences or journals · Passionate about data and machine learning · Programming experience in Python, R, C, or C++ · Software engineering background, e.g., you have a Computer Science background, or software engineering working experience · Able to work independently and as a team, and drive a project from its inception to the finish line on time

Preferred:

· NLP background with deep learning modelling and library use (e.g. Pytorch, Tensorflow) experience · Publications at top-tier conferences such as ACL/EMNLP/NAACL/AAAI/ICLR etc. and journals such as TACL/CL etc.