Deep Learning Scientist

ENGINEERINGUK; Cambridge; On-site; GBP 45,000 - 75,000; Full time

Job summary

A leading technology company in Cambridge is seeking a passionate Scientist specializing in Machine/Deep Learning. You will collaborate with peers to develop algorithms that enhance voice technology for Alexa, directly impacting customer experience. Ideal candidates will hold a PhD or Master's degree and have a strong programming background.

Qualifications

• PhD or Master's degree in CS, CE, ML, or related fields.
• Experience with patents or publications in top-tier conferences.
• Proficiency in programming languages (Java, C++, Python).

Responsibilities

• Research and implement novel Machine/Deep Learning approaches.
• Lead and mentor junior engineers and scientists.
• Design and develop data-driven models for spoken language applications.

Skills

Machine Learning

Deep Learning

Programming

Statistical Modeling

Data Mining

Education

PhD in Computer Science, Computer Engineering, Machine Learning or related fields

Master's degree with experience

Tools

Unix/Linux

Java

C++

Python

Job description

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DESCRIPTION

We are the Text-to-Speech Research team, dedicated to enhancing core technology for Alexa's voice to make it more human-like and expressive.

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

As an applied scientist, you will collaborate with talented peers to develop novel algorithms and modeling techniques to push the state-of-the-art in spoken language generation. Your work will directly impact our customers through products and services utilizing speech and language technology. You will leverage Amazon's diverse data sources and large-scale computing resources to accelerate progress in computer-generated speech.

Position Responsibilities:

1. Research and implement novel Machine/Deep Learning approaches that add value to Amazon.
2. Lead and mentor junior engineers and scientists.
3. Participate in designing, developing, evaluating, deploying, and updating data-driven models and analytical solutions for spoken language applications.
4. Develop and apply statistical modeling methods (e.g., deep neural networks), optimizations, and other ML techniques for various spoken language engineering applications.

BASIC QUALIFICATIONS

• PhD, or a Master's degree with experience in CS, CE, ML, or related fields.
• Experience with patents or publications at top-tier peer-reviewed conferences or journals.
• Proficiency in programming languages such as Java, C++, Python, or related.
• Experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
• Experience building machine learning models for business applications.

PREFERRED QUALIFICATIONS

• Experience using Unix/Linux.
• Experience in professional software development.

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