Alexa is the Amazon cloud service that powers Echo, the groundbreaking Amazon device designed around your voice. We believe voice is the most natural user interface for interacting with the web services and applications. Alexa uses a suite of foundational machine learned (ML) classifiers such as Conditional Random Fields, Hidden Markov models, and Deep Neural Networks (DNNs).
A Senior Scientist in Alexa Foundational ML Algorithms will help drive Alexa’s core general ML technologies. The core algorithms are generic and may be used to solve different problems, but the core team’s responsibility is not in the specific application. A successful candidate will be expected to:
· Innovate and execute on foundational ML algorithms that spans Deep Learning and data-efficient learning techniques such as Transfer Learning (i.e. applying learning from one task to another), Single-/Zero-Shot learning (i.e. learning from a small number of labeled samples), and Unsupervised Learning.
· Act as a technical lead for small science teams, and mentor for other scientists
· Partner with engineering teams’ productize enhancements and new ML algorithms for large-scale application