Deep learning scientist

NLP PEOPLE; Cambridge; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading technology team in Cambridge is seeking a talented Scientist to enhance Alexa's voice with advanced Machine Learning and Deep Learning methods. The role involves developing algorithms for spoken language generation that directly impacts customer experience and requires a solid educational foundation in relevant fields.

Qualifications

• PhD in Computer Science, Computer Engineering or related field.
• Experience in patents or publications at top-tier peer-reviewed conferences.
• Experience programming in Java, C++, or Python.

Responsibilities

• Research and implement novel Machine/Deep Learning approaches.
• Lead and mentor junior engineers.
• Develop and apply statistical modelling methods and optimizations.

Skills

Machine Learning

Deep Learning

Algorithms

Data Mining

Statistical Modelling

Education

PhD or Master’s in CS, CE, ML

Tools

Python

Java

C++

Unix/Linux

Job description

We are the Text-to-Speech 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

Company:

Amazon

Qualifications:

BASIC QUALIFICATIONS
– PhD, or a Master’s degree and experience in CS, CE, ML or related field
– Experience in patents or publications at top-tier peer-reviewed conferences or journals
– Experience programming in Java, C++, Python or related language
– Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
– Experience in building machine learning models for business application

PREFERRED QUALIFICATIONS
– Experience using Unix/Linux
– Experience in professional software development

Educational level:

Master Degree

Tagged as: Industry, Machine Learning, Master Degree, Parsing, Text-To-Speech, United Kingdom