• Knowledge Engineer (Alexa)

    Location UK-London
    Posted Date 5 months ago(01/02/2018 8:25)
    Job ID
    Amazon EU SARL (UK Branch)
  • Job Description

    Alexa is the Amazon cloud service that powers Echo, the groundbreaking new Amazon device designed around your voice. Voice is the most natural user interface for interacting in the home and is quickly becoming the preferred way to seek information on any topic, at any time, from any place. Whether in the kitchen with Echo, on the couch with Fire TV, or on the go with mobile, customers expect Alexa to delight them with immediate and accurate answers to their questions.

    The Knowledge Engineer is responsible representing real-world objects and concepts in ways that both computers and people can understand. The Knowledge Engineer will work across and within our content areas including traffic, weather, geography, history, movies, sports, music, science, math, literature, and more. The successful candidate will work to maintain the quality of knowledge already in the system, and expand the capabilities of the platform to infer new knowledge. He or she will work with teams of developers and machine learning scientists to enhance the existing technology and invent new knowledge ingestion techniques.

    Alexa uses proprietary technology, therefore, the successful candidate can expect full training without needing specific experience in the area. However it's a complex and demanding role, requiring a lot of raw talent and versatility to learn the full system and quickly become productive across all areas.

    • Analyse data schemas and knowledge design to track and resolve issues that in turn empower Alexa to answer more questions
    • Expand Alexa’s ability to translate questions and answers between natural language and the system’s internal information representation and vice versa
    • Identify new areas of knowledge, and represent these real-world objects and concepts in Alexa
    • Maintain the quality of knowledge already in the system
    • Work with teams of developers to enhance the existing technology
    • Have direct responsibility for question answering success metrics
    • Derive insights from functional processes, and identify opportunities to automate and improve operations
    • Partner with internal stakeholders and product managers to create and review Knowledge Engineering sprint planning

    Basic Qualifications

    • You love working with information, and excited about enriching the knowledge graph that powers Alexa
    • Degree in a related field
    • Quantitative and systematic approach to problem solving
    • Excellent written and verbal communication skills
    • Ability to work autonomously

    Preferred Qualifications

    • Degree in quantitative/analytical field (Math, Sciences, Economics)
    • Broad general knowledge
    • Experience with using data visualisation tools
    • Basic understanding of data schemas
    • Technical background (e.g. SQL, Javascript, ETL, and Python experience)

    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.

    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 U.S.A. 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.
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