Sonetel provides a Software-As-A-Service for business communication to small businesses worldwide. These small businesses engage their customers through their websites. Their customers today have to either browse or search within the website to find answers to their specific questions. This paradigm has outrun its utility – its inefficient, unintelligent, and passive. There is an urgent need for a new paradigm that is more efficient, engaging, and intelligent in how these small businesses can connect with their customers.
Sonetel is building a Chat Assistance Platform (ChAP) for small businesses. ChAP will replace the current browse and search paradigms with a new conversation paradigm between these small businesses and their customers. ChAP will enable small businesses to have automated, intelligent, goal driven, natural language conversations with their customers. For example, ChAP will be able to answer questions like “when does your restaurant open?” or “Do you deliver in my area?” with answers like “Sorry, today we are closed. But we are open tomorrow from 8:00am to 5:00pm! Drop by any time!” or “Yes, we do deliver in your area but its going to take 45 minutes, are you ok with that?”, respectively.
ChAP will be built on advanced AI algorithms including: deep learning based text understanding, natural language processing based knowledge extraction, knowledge driven question answering, deep reasoning based conversational systems, and deep learning based speech understanding systems to enable a more “human like” customer engagement at scale!
We are looking for passionate Data Scientists with 1-4 years of work experience, who can drive the adoption, application, and innovation of new algorithms for building natural language conversation systems to very large amounts of data. You will be responsible for formulating, architecting, developing, deploying, and improving ChAP for a diverse set of businesses across multiple languages.
PhD, Masters or exceptional Bachelors in Computer Science or Data Science
Proven track record on large scale and complex projects is preferable!
Hands-on experience on some of the following areas:
Information Retrieval and Information Extraction
Machine Learning and Text Mining
Natural Language Understanding
Question Answering Systems
Deep Learning applied to Text, Speech, and Vision
Hands-on experience with some of the following tools:
Lucene or other information retrieval systems
Scikit-learn or other Machine Learning tools
SyntaxNet or Standford NLP Parsers
TensorFlow or other Deep Learning tools
Hadoop or related MapReduce tools