Description
We are the world’s learning company with more than 21,000 employees operating in 70 countries. We combine world-class educational content and assessment,powered by services and technology, to enable more effective teaching and personalized learning at scale. We believe that wherever learning flourishes so do people.
Responsibilities:
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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
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Design new algorithms for different purposes (such as improving the grading performance)
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Perform data analysis for different requirements
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Proactively research ways to apply latest methodologies to improve the automated grading system’s capability, reliability and accuracy
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Maintain grading system
Qualifications
Required experience will include:
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Master’s in Computer Science, Electrical Engineer or relevant areas with 3-5 years working experience; Ph.D. or ABD (all but dissertation) with graduation in 2020 preferred
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Strong desire to integrate research with product development and augment your research abilities with solid programming in C/C and proficiency with SQL, Perl (or Python) and Matlab (or R)
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Skilled knowledge of speech recognition, probabilistic systems, statistical models
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Strong background in statistical modeling and machine learning
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Demonstrate a willingness to learn and apply a wide range of technologies
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Experience with linguistic and statistical analysis of natural language would be highly desirable
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Experience in designing and running ASR (Automated Speech Recognition) experiments using HTK or KALDI are a plus
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Strong written and verbal communication skills