Position Overview

Interactions is changing the way brands and consumers communicate by providing effective, efficient, and natural conversational intelligence.  We operate at the intersection of customer experience and AI – two of today’s most innovative and dynamic industries.  Leading global brands in a variety of industries rely on Interaction’s conversational AI technology to communicate with their customers every day. Conversational systems are our core business and the Interactions Intelligent Virtual assistant platform processes billions of utterances a year for numerous Fortune 500 customers. 

As an AI Engineer (CAI) you will join our Conversational AI team responsible for creating high-performance conversational systems. You will create dialogue systems that interact with the user using advanced initiative and turn-taking approaches, explore new approaches for rapidly deploying these systems, and see your technology make a meaningful impact to real customers of known brands.

Essential Job Functions

·Support development of omni-channel conversational AI products

·Integrate statistical and symbolic approaches to decision making

·Conceive, implement, and evaluate conversational interactive systems.

·Work closely with research teams to bring differentiating technologies into our dialogue platform.

·Contribute to the technical thought leadership of the company through conference presentations, publications, meet-ups, and professional service.

Required

·Bachelor’s Degree  / Master’s Degree in Computer Science, Engineering, Linguistics or related

field.

·Industry experience or class work in dialogue management

·Strong knowledge of Machine Learning or symbolic reasoning

·Overall understanding of speech and language processing technology.

·Strong software background with a high level of proficiency in at least one of: Python, Java, or C++.

·Strong background and experience in the application of machine learning to dialog and NL tasks.

Pluses

·Industry experience building interactive conversational systems using Python

·Experience with TensorFlow and/or PyTorch

·Experience conducting experimental evaluations of interactive systems

·Demonstrated ability and drive to take results from research experiments and incorporate them into working software prototypes