At the intersection of AI and natural language understanding, voice-assistant technology is one of the most exciting industries to work in today. Part of its appeal lies in a relatively undefined scope: the nature of a nascent market dictates challenges and opportunity often lacking in more developed fields. Creating advanced personal assistants means understanding how to address the many ways a user can ask a single question, and appropriately inferring intent from metadata such as a customer's location.
At Alexa, we experience those challenges every day. Alexa is Amazon's cloud-based voice service, an intelligent assistant that powers groundbreaking devices such as Echo and FireTV. As well as influencing how customers interact with devices in their home, Alexa is shaping the way knowledge is consumed.
That's where you come in. We're looking for Knowledge Engineers to join us in sunny Santa Barbara and help us expand Alexa's knowledge base and make her the most intelligent assistant in the world. As a Knowledge Engineer in this role, you will be responsible for solving complex problems like identifying the optimal technical and UX strategies for answering questions customers ask Alexa. You will become an expert in the ins and outs of launching engaging question and answer experiences on Alexa. You will own all aspects of a product launch, including ideation, prioritization, development, and post-launch metric monitoring, all with the goal of making Alexa the smartest assistant in the world.
In this role, you will: * Design methods to prioritize where Alexa needs to "become smarter" about the questions most important to customers * Prototype and scale new strategies to answer even the most niche questions out there * Develop and manage complex data pipelines * Closely monitor specific KPIs and drive improvements in Alexa's answering capability * Partner with software developers, product managers, and business leaders to enhance Alexa's key functions worldwide * Have the opportunity to drive new customer experiences, all the way from ideation to launchBasic Qualifications * Bachelor's degree, or equivalent, in an analytical field * Experience working simultaneous projects with cross-functional teams Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age