Applied Scientist - generative AI, AGI

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

Job summary

A technology team at Amazon is seeking a passionate Applied Scientist to develop innovative generative AI solutions for speech and audio applications, significantly contributing to the future of media and technology. The successful candidate will harness advanced machine learning methodologies and collaborate with a diverse team to deliver state-of-the-art algorithms, driving improvements in both customer experience and novel product initiatives.

Qualifications

• Experience with CNNs, GANs, VAEs and NF for synthetic humans.
• Background in building speech products or government speech projects.
• Proven record of patents or publications in top-tier conferences.

Responsibilities

• Design, develop, and evaluate data-driven models for vocal arts.
• Research and apply digital vocal and video arts techniques.
• Mentor junior engineers and scientists in developing solutions.

Skills

Generative Deep Learning

Speech Recognition

Natural Language Processing

Machine Learning

Mentoring

Education

PhD in Engineering or related field

Tools

Python

Java

C++

Job description

Job ID: 3000793 | Evi Technologies Limited - C67

Our team builds generative AI solutions that will produce some of the future’s most influential voices in media and art. We develop cutting-edge technologies with Amazon Studios, the provider of original content for Prime Video, with Amazon Game Studios and Alexa, the ground-breaking service that powers the audio for Echo.

Do you want to be part of the team developing the future technology that impacts the customer experience of ground-breaking products? Then come join us and make history.

We are looking for a passionate, talented, and inventive Applied Scientist with a background in Machine Learning to help build industry-leading Speech, Language, Audio and Video technology.

As an Applied Scientist at Amazon you will work with talented peers to develop novel algorithms and generative AI models to drive the state of the art in audio (and vocal arts) generation.

Position Responsibilities:

* Participate in the design, development, evaluation, deployment and updating of data-driven models for digital vocal arts applications.
* Participate in research activities including the application and evaluation and digital vocal and video arts techniques for novel applications.
* Research and implement novel ML and statistical approaches to add value to the business.
* Mentor junior engineers and scientists.

BASIC QUALIFICATIONS

- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
- Experience with programming languages such as Python, Java, C++

PREFERRED QUALIFICATIONS

- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience in patents or 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.

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