Pearson creates vibrant and enriching learning experiences, designed for real-life impact. Our English Language Learning division has an opportunity to make an impact in the test design and Innovation group. The Test Development group is responsible for designing reliable and valid language tests based on theories of linguistics and psychology, informed by an understanding of automatic speech recognition and natural language processing. We have an exceptional opportunity for a Research Engineer on Speech Recognition who enjoys building language models, training acoustic models, building statistical models for measuring the performance for new and existing products.

Responsibilities:

Perform entire R&D cycle (building language models, training acoustic models, building statistical models for measuring the performance, etc.) for new and existing products that use ASR and automated grading Design new algorithms for different purposes (such as improving the grading performance) Perform data analysis for different requirements Proactively research ways to apply latest methodologies to improve the automated grading system’s capability, reliability and accuracy Maintain grading system 

Qualifications

Master's in computer science, Electrical Engineering or relevant areas with working experience; Ph.D. or ABD (all but dissertation) with graduation in plan preferred

Required experience will include:

Strong desire to integrate research with product development and augment your research abilities with solid programming in C/C++ and proficiency with SQL, Python and Matlab (or R)  Skilled knowledge of speech recognition, probabilistic systems, statistical models Strong background in statistical modelling and machine learning Demonstrate a willingness to learn and apply a wide range of technologies  Experience with linguistic and statistical analysis of natural language would be highly desirable Experience in designing and running ASR (Automated Speech Recognition) experiments using HTK or KALDI are a plus  Strong written and verbal communication skills