Amazon Alexa @ Velocity
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Meet the Alexa Team @ Velocity!
The Alexa Machine Learning team looks forward to meeting you at Velocity Conference 2018! Come and visit our booth to learn more about our innovation and career opportunities.. Read on for more information about our technology and team.
What is Alexa?
Amazon Alexa is leading the way in making spoken language the next user interface paradigm. Alexa is the voice service that powers Amazon’s family of Echo products, Amazon 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, control lights and your thermostat and more.
Technologies We Focus On
The Alexa Science and Machine Learning team made the magic of Alexa possible, but that was just the beginning. 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 techniques like highly scalable deep learning. 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). Alexa Scientists and Developers have large-scale impact on customer’s lives and on the industry-wide shift to voice user interfaces. Scientists and engineers in the Alexa team 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.
We also look outward. 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 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 acts as a springboard for publications at premier conferences. We also partner with universities through the Alexa Prize.
We offer 3-6 month internships year-round, with opportunities in Aachen, Cambridge UK, Gdansk, Turin, Seattle, Sunnyvale, Pittsburgh and Boston. To apply, email your resume to Velocity2018@amazon.com, and let us know if there are any specific locations, teams that you are interested in working with.
Job Opportunities for Graduating Students and Experienced Engineers
We are looking for results-driven individuals who can apply advanced machine learning techniques, love to work with data, are deeply technical, and highly innovative. If you long for the opportunity to invent and build solutions to challenging problems that directly impact the way Amazon transforms the consumer experience, we are the place for you. Apply to one of the job postings below or send your resume directly to Velocity2018@amazon.com.
Meet the Alexa Team @ Velocity:
AWS AI Summit 2018: Delivering on the Promise of AI Together
Alexa VP and Head Scientist Rohit Prasad focuses on AI advances that are delighting customers
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.
re:MARS 2019: AI Invention That Puts Customers First
Jeff Wilke, CEO, Worldwide Consumer, explains how Amazon has been using AI to develop great customer experiences for nearly 20 years.
"I spoke to the future and it listened" – Gizmodo
Meet the team of world-class scientists behind Alexa.
2018 Alexa Prize Finals
A look into the 2018 Alexa Prize Challenge
Washington Ideas 2017
Rohit Prasad, VP & Head Scientist, Alexa Machine Learning, talks about the future of Alexa & conversational AI with Alexis Madrigal