Interested in making Amazon Echo deeply personalized to each customer? We’re building the speech and language solutions behind Amazon Echo and other Amazon products and services. Come join us!
Alexa is the groundbreaking cloud-based intelligent agent that powers Echo and other devices designed around your voice. Our team is creating the science and technology behind Alexa. We’re working hard, having fun, and making history. Come join our team! You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of a cutting edge product used every day by people you know. We’re looking for a passionate, talented, and inventive applied scientist to help build industry-leading intelligent offerings that customers love. Our mission is to apply Artificial Intelligence (AI) and Machine Learning (ML), in order to reduce users cognitive load, reduce friction in their day-to-day activities, deeply personalize Alexa's responses, and finally, inspire our customers by enabling serendipitous discovery of experience. You will leverage Amazon’s vast heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. You will work in a fast paced team environment alongside top-notch applied scientists and software engineers. Your work will directly impact our customers in the form of novel products and services that make use of speech and language technology and you will be able to rigorously measure and improve the quality of your solutions by testing them on Alexa's vast customer base.
· Graduate degree (MS or PhD) in Computer Science, Mathematics or Statistics, or other engineering or science discipline · Work experience as an applied scientist · Familiarity with standard machine learning theory and practice · Scientific thinking and the ability to invent · Familiarity with programming languages such as Java, C/C++, Python
· PhD with specialization in machine learning · 3+ years of related work experience · Publications in top conferences and journals · Strong software development skills · Experience working effectively with science and software engineering teams · Experience using at least one large-scale machine learning system to build production quality models · Proven track record of innovation in creating novel algorithms and advancing the state of the art · Entrepreneurial spirit combined with strong problem solving skills · Excellent written and spoken communication skills