Job Post

Applied Scientist, Automatic Speech Recognition - Alexa AI

Amazon Alexa
101 Main Street
Cambridge, MA 02142

Alexa is the groundbreaking cloud-based voice service 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 scientist to help build industry-leading conversational technologies that customers love. Our mission is to push the envelope in Machine Learning (ML), Artificial Intelligence (AI), Natural Language Understanding (NLU), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing, in order to provide the best-possible experience for our customers. As a Senior Machine Learning Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to augment and enhance voice centric intelligent systems. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. You will collaborate with other scientists and work in a fast paced team environment. Your work will directly impact our customers in the form of novel products and services that make use of speech and language technology.

BASIC QUALIFICATIONS

· Master’s degree in a relevant field
· 5+ years experience with various data analysis and visualization tools
· Experience in Perl, Python, or another scripting language; command line usage
· Experience with various machine learning techniques and parameters that affect their performance

PREFERRED QUALIFICATIONS

· PhD in a relevant field
· Track record of diving into data to discover hidden patterns and of conducting error/deviation analysis
· Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
· Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
· The motivation to achieve results in a fast-paced environment.
· Experience with statistical modelling / machine learning
· Strong attention to detail
· Exceptional level of organization
· Comfortable working in a fast paced, highly collaborative, dynamic work environment
· Ability to think creatively and solve problems
· Fluency in a foreign language

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

Category: Data Science / Machine Learning
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Full-time

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