Deep Learning Scientist

Amazon Inc.; Greater London; Sur place; GBP 90 000 - 140 000; Plein temps

Résumé du poste

Amazon Development Centre (London) Limited - C26, Audible Research team, seeks an applied Scientist with a strong ML/DL background to join in Cambridge, UK. You will push state-of-the-art in spoken language generation and contribute to products leveraging speech and language tech.

You will work with peers to develop novel algorithms, leverage large-scale data and compute resources, and impact customers with speech-driven innovations for Alexa.

Qualifications

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

Responsabilités

• 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

Connaissances

Java

C++

Python

Outils

SQL

Oracle

Description du poste

Job ID: 10584036 | Amazon Development Centre (London) Limited - C26

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

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