Job Title : Research Engineer II - Voice & Text
Job Summary :
Research Engineer II is expected to develop voice and text-based products using state of the art Machine Learning, Deep Learning, Speech Recognition, NLP technologies
Key Result Areas (Accountability & Responsibility of the role) :
Perform research and development on Machine Learning specifically in the areas of Speech Recognition, Digital signal processing, audio signal processing, Natural Language processing, Natural Language Understanding
Read and keep up with the research in Speech recognition, Machine Learning, Deep Learning
Understand and implement research papers to the business problem and build the technology
Contribute to applied research and open source community
Mentor and guide team members.
Key Skills Required :
Minimum Qualifications :
Masters / Phd in Computer Science, Electrical Engineering, Signal Processing, or related disciplines
4-8 years of experience with 4+ years of relevant experience
In depth knowledge of various Automated Speech Recognition (ASR), Natural Language Processing / Understanding (NLP / NLU) domains, speech to text (STT)
Knowledge and skills on attention-based ASR models
Skills in speech enhancement, noise recognition and cancellation
Experience in Automatic speech recognition using deep learning techniques
End to end automatic speech recognition
Excellent background Machine Learning (Generative / Discriminativemodels, Neural Networks, Regression, Classification, Clustering)
Expertise in Text Mining (probabilistic topic models, word association mining, ontology learning, semantic similarity, etc)
Expertise in NLP techniques (word representation, word2vec, doc2vec, Bayesian modelling, RNN, LSTM)
Ability to work with structured and unstructured data
Strong software engineering skills
Good knowledge of algorithm development
Preferred Qualifications :
Strong experience and expertise in Speech Recognition, Natural Language understanding
Publication record in Machine Learning / Deep Learning conferences and Journals in areas of speech recognition, natural language processing, natural language understanding
Experience in applying deep learning techniques to text and Exposure :
4+ years of experience in automated speech recognition
4+ years of experience in NLP and NLU domains
Key Specs / Sample questions to assess the relevance of the candidate :
Number of years of Experience in Speech Recognition?
Did you publish any papers or file any patents?
What is your experience on noise cancellation and reduction? What techniques have you used?
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