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Alexa Machine Learning

234 vagas disponíveis

Give your vision for conversational computing a voice

What is Alexa?

Amazon Alexa is leading the way in making spoken language the next user interface. Alexa is the voice service that powers Amazon’s family of Echo productsAmazon Fire TV, and other third-party products. Echo is a device that you can talk to from across the room to play music, get the news, set timers, make hands-free calls, manage to-do and shopping lists, control lights, your thermostat and so much more.

Technologies We Focus On

The Alexa Science and Machine Learning team contributes to the magic that is Alexa. Our goal is to make voice interfaces ubiquitous and as natural as speaking to a human. We have a relentless focus on the customer experience and customer feedback. We use many real-world data sources including customer interactions and a variety of cutting-edge techniques, like highly scalable deep learning, to train our speech models. Learning at this massive scale requires new research and development. The team is responsible for cutting-edge research and development in virtually all fields of human language technology: automatic speech recognition (ASR), artificial intelligence (AI), natural language understanding (NLU), question answering, dialog management, and text-to-speech (TTS). This interview with VP and head scientist Rohit Prasad provides good insight into our customer-centric approach to research and development.

Alexa scientists and developers have significant impact on customer’s lives and are leading the industry in its shift toward conversational computing. Alexa scientists and engineers also invent new tools and APIs to accelerate development of voice services by empowering developers through the Alexa Skills Kit and the Alexa Voice Service. For example, developers can now create a new voice experience by simply providing a few sample sentences.

Alexa Research

Our research is primarily customer focused. Your discoveries in speech recognition, natural language understanding, deep learning, and other disciplines of machine learning can fuel new ideas and applications that have direct impact on peoples’ lives. We also firmly believe that our team must engage deeply with the academic community and be part of the scientific discourse. There are many opportunities for presentations at internal Machine Learning conferences, which can be a springboard for publication at premier industry and academic conferences. We also partner with universities through the Alexa Prize.

We encourage the publication of research that will contribute to a future of more natural and engaging computing experiences. Research recently published by the Alexa science team is listed below.

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2016

2015

Do you want to give your vision for conversational computing a voice? If so, here are some hints on how you can join our team. Please check out our open positions below, ranging from speech and machine-learning scientist, to language data specialist and technical program manager. We have hundreds of opportunities available in the following global locations:

Meet Amazonians working in Alexa Machine Learning

Alexa Machine Learning & Science

AWS re:invent 2017: Alexa State of the Science

Alexa VP and Head Scientist Rohit Prasad presents the state of the science behind Amazon Alexa.

AWS re:invent 2017: Alexa State of the Union

Alexa SVP Tom Taylor covers the state of the Alexa business, some early challenges, and how we are approaching emerging trends.

"I spoke to the future and it listened" - Gizmodo

Meet the team of world-class scientists behind Alexa.

Introducing the Alexa Prize

The Alexa Prize is an annual competition for university students dedicated to accelerating the field of conversational AI.

2016 MobileBeat Conference Interview

Alexa Head Scientist Rohit Prasad's interview at VentureBeat's 2016 MobileBeat Conference

Keynote: Conversational AI in Amazon Alexa

A talk by Senior Manager, AI Science Ashwin Ram at Udacity Intersect 2017

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