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 … “
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.
A Bachelors degree or higher in Linguistics.
Experience in Theoretical and Cognitive Linguistics
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.
Experience of programming in Python.
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.
Ability to understand and write code for data analysis, or to enhance the systems question answering capabilities.
Opening Date: 30th June
Closing Date: 30th July
Location: Cambridge, UK
Amazon is an equal opportunities 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. We offer a competitive salary and stock units, we offer a whole host of other benefits, including an employee discount, private health care and pension scheme. We are committed to keeping compensation fair and equitable.