Tur discusses his experience from his early days working on DARPA programs, how he’s seen the field of conversational AI evolve, and more about the machine learning technologies that provide teachable moments for Alexa.
Conversational AI / Natural-language processing

Alexa & Friends features Gokhan Tur, Alexa AI senior principal scientist

Hear Tur discuss his experience from his work on DARPA programs, how he’s seen the field of conversational AI evolve, and more.

By Staff writer
September 28, 2020
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Amazon recently unveiled a host of new devices and AI services, including the ability for Alexa customers to directly teach Alexa. Among other things, this service helps Alexa "learn new concepts on the fly" by having her ask questions to fill gaps in her understanding—similar to what we do as humans.

On October 1, Jeff Blankenburg and Gokhan Tur met for a live interview to discuss Tur’s experience from his early days working on DARPA programs, how he’s seen the field of conversational AI evolve, and more about the machine learning technologies that provide teachable moments for Alexa.

Tur has spent the past 20 years within the industry exploring the field of human/machine conversational language understanding systems. He has helped research and develop some of today’s leading voice technology systems across a diverse set of companies, and today leads research efforts related to helping Alexa become more conversational, natural, context-aware, knowledgeable, and self-learning.

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Senior Applied Scientist -- Computer Vision
US, WA, Seattle
Would you like to shape the future of the video entertainment industry for movies, TV and live sports events? Does solving complex problems within large scale, production systems excite you? If you answered yes, we have an opportunity for you!Prime Video is disrupting the traditional television and movie industry with a growing library of high-quality media. Prime Video launched in 2007 and has quickly become a strategic priority for the company, reflected in the service’s recent expansion into over 240 countries and territories worldwide.This is a big opportunity to apply Computer Vision and directly impact millions of customers.A day in the lifeIn your day-to-day activities in this role, you'll embrace the challenges of a fast paced market and evolving technologies, and develop Computer Vision and Machine Learning models to extract deep 2/3-D video-understanding of Prime Video content. You will be encouraged to see the big picture, be innovative, and iteratively develop technology to impact millions of our customers. This is a young and evolving business where creativity and drive will have a lasting impact on the way video is enjoyed worldwide.About the hiring groupThe PV-CVML team is a group of Applied Scientists working on a diverse set of 2/3-D video understanding problems while partnering with various teams across Prime Video (PV). The most unique aspect of our team is the broad set of exciting problems we get to work on for our multiple stakeholders across the entire video-streaming vertical. If you want to work on technically cutting-edge problems with massive customer impact, then our team is the perfect fit for you!Job responsibilitiesAs a member of our team, you will apply Computer Vision and Machine Learning to problems that have cross-organizational technological impact. Your work will focus on cleansing and preparing large scale datasets, training and evaluating models and deploying them to production. You will work on large engineering efforts that solve significantly complex problems facing global customers. You will be trusted to operate with independence and are often assigned to focus on areas with significant impact on audience satisfaction. You must be equally comfortable with digging in to customer requirements as you are drilling into design with development teams.We would like you to build models that can perform 2D/3D scene-understanding of all video-content available on Prime Video using computer vision, natural language processing, deep learning and advanced machine learning algorithms. We need to solve problems across many cultures and languages and have a huge amount of human-labelled data as well as operations team to generate labels across many languages to help us achieve these goals. Our team consistently strives to innovate, and holds several novel patents and inventions in the motion picture and television industry. We are highly motivated to extend the state of the art.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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