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2 weeks ago(09/10/2018 16:51)
Evi Technologies Limited
Company/Location (search) : Country (Full Name)
You: “Alexa, I’m looking for a job where I can build products straight out of science fiction.” Alexa: “I have found matching jobs for you in the Alexa Knowledge team in Cambridge, UK. What role are you looking for?” You: “I’d like to work on making you even smarter than you are today.” Alexa: “Wonderful. There are multiple roles in Cambridge where you can do that, here are the details … “
Our focus in the Alexa Knowledge team combines natural language understanding, acquiring large volumes of structured knowledge, and building autonomous machine reasoning to allow our customers to get answers to their questions in the most natural way possible. We’re part of a huge research and engineering effort on the Amazon Alexa team.
We’ve solved many complex problems to get to where we are today, but there are still plenty of challenges ahead of us, and Alexa is getting smarter every day. The problems we solve in the Alexa Knowledge team in Cambridge help Alexa get smarter by understanding the different ways people talk, by learning more and more facts about the world, by improving her common sense reasoning and by responding in the most natural way possible in multiple languages.
We set out to build Alexa at Amazon because we believe that voice will fundamentally improve the way people will interact with technology, and we wanted to create a computer in the cloud that could be controlled entirely by your voice.
Your new role: Knowledge Engineering at Amazon is an exciting and multi-disciplined role that forms an important part in the ongoing success of Alexa. Our Knowledge Engineers work to understand real world concepts and represent them in our system. They also configure the natural language processing and generation systems to help Alexa understand questions and respond with spoken answers.
A successful candidate will have demonstrated academic excellence in a subject such as mathematics, linguistics, philosophy, or library science, will be highly analytical, and have great communication skills.
Your responsibilities will include: · Representing real-world objects and concepts in ways that both computers and people can understand. · Managing and adding to a complex class hierarchy. · Using our specialized query language as you work on our systems for understanding questions, performing inference, and providing natural language responses. · Using your newly acquired understanding of knowledge representation and the Evi system to contribute to innovative approaches to difficult problems.
• Concise clear written communication skills (ideally demonstrated in your CV!) and excellent verbal communication ability. • Academic excellence, for example demonstrated by excellent progress on an undergraduate or postgraduate degree.
• Some experience of computer programming. • Broad general knowledge. • Ability to learn a wide range of skills, for example demonstrated by a joint degree or broad range of subject choices earlier in your education. • Highly-motivated self-starter who can deliver results without close supervision.• Ability to prioritise work and meet deadlines. • Great team player, able to work effectively with others as well as individually. • Highly analytical with a data-driven approach to making decisions and attention to detail.
Amazon is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.
Amazon takes your personal data protection seriously and respects EU and local data protection laws. Unless you express otherwise, by submitting your CV you authorize the hiring Amazon company to store your personal data in the electronic database maintained by Amazon Corporate LLC. in the United States or one of its affiliates for the purpose of assessing your suitability for this and future job vacancies and to pursue your recruiting process. If at any time you want your personal data to be deleted, you simply need to notify the hiring Amazon company. Amazon will not share your personal data with any third-party without your prior consent. As part of your interview process with Amazon you may be asked to authorize the hiring Amazon company to separately verify your application data and personal background through a third-party service provider.