Applied Scientist

Job description

DESCRIPTION

We’re looking for a passionate, talented, and inventive scientist to help build industry-leading technologies in speech translation. Our team's mission is to enable Alexa to break down language barriers for our customers .

As an Applied Scientist on the Alexa Translations team, you will be responsible for developing novel algorithms that advance the state-of-the-art in speech translation, driving model and algorithmic improvements, formulating evaluation methodologies and for influencing design and architecture choices. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to build novel products and services that make use of speech and language technology. You will work in a hybrid, fast-paced organization where scientists and engineers work together and drive improvements to production. You will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon.

PREFERRED QUALIFICATIONS

· 5+ years experience in building speech recognition, machine translation and natural language processing systems (e.g. commercial speech products or government speech projects)
· 5+ years Machine Learning experience and familiar with standard speech and machine learning techniques.
· Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
· Strong software development skills
· Experience working effectively with science, data processing, and software engineering teams
· Excellent written and spoken communication skills.

Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age

Desired profile

BASIC QUALIFICATIONS

· Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, machine translation or machine learning.
· Familiar with programming languages such as C/C++, Java, Perl or Python.
· 1+ years experience in building speech recognition, machine translation and natural language processing systems (e.g. commercial speech products or government speech projects)
· 1+ years Machine Learning experience and familiar with standard speech and machine learning techniques.
· Familiarity with standard speech and machine learning techniques, scientific thinking, and the ability to invent