“Alexa find me an internship on the Alexa Knowledge team!”
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 that could be controlled entirely by your voice.
On the Alexa Knowledge team, we are constantly making Alexa smarter by enabling her to learn about what's going on in the world. We believe that the information to answer (almost) every question can be found somewhere on the internet, and not just in an encyclopedia. Our goal is to teach Alexa how to read a wider range of texts and expand her Knowledge Graph to learn more about the world.
This will require methods that lie beyond the cutting edge academic and industrial research of today, at internet-level scale. Together with their mentors, interns create novel solutions to research problems. They publish them to top-tier academic conferences and work with the engineers and other scientists on their team to bring them to the millions of customers who use Alexa every day.
Our internships offer exceptional opportunities for you to grow your technical and non-technical skills. From day one, you will receive guidance from experienced scientists who love what they do. You will drive your own learning and development with guidance and coaching from your manager, buddy and colleagues around you. Not to mention a competitive salary and a lot of computing power!
Ideal candidate profile
· Currently enrolled in a PhD program in Computer Science, Machine Learning, Computational Linguistics, Natural Language Processing, Semantic Web, Applied Mathematics or a related field;
· Hands-on experience in one or more of: Information Extraction, Deep Learning, Scalable Machine Learning, Semantic Parsing, Knowledge Graphs;
· Good coding skills. Experience in Python or Java is a plus;
· Ability to communicate and discuss technical topics with both technical and business audiences;
· Innovative, flexible and self-directed, while also able to work within a team.