Applied Scientist - Toronto, CA Machine Learning and Speech - Echo

Job description

DESCRIPTION

Amazon is looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading Natural Language Understanding (NLU) solutions. Our mission is to push the envelope in NLU and Entity Resolution (ER) technologies to provide the best possible experience for our customers. Products such as Amazon Echo, Echo Show, Echo Look, Amazon Dash, and Fire TV are illustrative of the user-delighting spoken language solutions Amazon is building.

As a Scientist on our team, you will collaborate with other scientists and software engineers to research and develop novel algorithms and modeling techniques to advance the state of the art in NLU and ER. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in natural language understanding.

Position Responsibilities:
· Participate in the design, development, evaluation, deployment of data-driven machine-learned (ML) models targeting NLU and ER applications.
· Develop and apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering.
· Routinely build and deploy ML models on available data.
· Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists.

Desired profile

BASIC QUALIFICATIONS

· Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, search science, or machine learning.
· 2+ years of experience with various machine learning techniques.
· Familiar with programming languages such as C/C++, Java, Perl or Python.