Deep Learning Scientist

Amazon Inc.; Cambridge; Presencial; GBP 85.000 - 120.000; Jornada completa

Descripción de la vacante

We are the Audible Research team at Amazon, based in Cambridge, UK, seeking a Scientist with a strong background in Machine/Deep Learning to advance state-of-the-art in spoken language generation. You will work on novel algorithms and modelling techniques to improve Alexa's voice and make it more human-like and expressive.

You will mentor junior engineers and scientists and collaborate with peers to deploy data-driven models for spoken language applications using large-scale data and compute

Formación

• Experience programming in Java, C++, Python or related language.
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.

Responsabilidades

• Research and implement novel Machine/Deep Learning approaches which add value to Amazon
• Lead and Mentor junior engineers and scientists
• Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for spoken language applications
• Develop and/or apply statistical modelling methods (e.g. deep neural networks), optimizations, and other ML techniques to different applications in spoken language engineering

Conocimientos

Java

C++

Python

SQL

Machine Learning

Deep Learning

Herramientas

Oracle

Descripción del empleo

Description

We are the Audible Research team and our goal is to improve the core technology to improve Alexa's voice and make it more human-like and expressive.

Description

We are the Audible Research team and our goal is to improve the core technology to improve Alexa's voice and make it more human-like and expressive.

We are looking for a passionate, talented, and inventive Scientist with a strong background in Machine/Deep Learning to join us in beautiful Cambridge, UK. Our mission is to push the envelope in computer-generated speech in order to provide the best-possible experience for our customers.

As an applied scientist, you will work with talented peers to develop novel algorithms and modelling techniques to advance the state-of-the-art in spoken language generation. 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 computer generated speech.

Position Responsibilities

• Research and implement novel Machine/Deep Learning approaches which add value to Amazon
• Lead and Mentor junior engineers and scientists
• Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for spoken language applications
• Develop and/or apply statistical modelling methods (e.g. deep neural networks), optimizations, and other ML techniques to different applications in spoken language engineering

Basic Qualifications

• Experience programming in Java, C++, Python or related language
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

Preferred Qualifications

• Experience implementing algorithms using both toolkits and self-developed code
• Have publications at top-tier peer-reviewed conferences or journals

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Company

- Amazon Development Centre (London) Limited - C26

Job ID: A10584036