Amazon UK Services Ltd.

Technology

Sr.AppliedScientist,AlexaInternational

£105–155k ~AI est. London, England, United Kingdom FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr. Applied Scientist, Alexa International at Amazon UK Services Ltd.. Skills: Speech models, Generative AI, Deep learning, Multilingual systems. Develop novel algorithms. Develop modeling techniques”

What You'll Achieve.

Deliver solutions with broad impact; Impact customers across multiple languages; Deliver impactful solutions

Industry & Context.

Technology
Problems you'll solve

Tackle complex challenges

What They're Looking For.

Must Have

Master's degree or PhD, Experience programming in Java, C++, Python or related language, Experience with neural deep learning methods and machine learning, Experience in building machine learning models for business application, Experience in applied research

Nice to Have

Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Experience with large scale distributed systems such as Hadoop, Spark

What You'll Do.

Develop novel algorithms

Develop modeling techniques

Advance state of the art in multilingual speech

Advance state of the art in text-to-speech synthesis

Advance state of the art in speech-to-speech models

Leverage Amazon's heterogeneous data sources

Leverage large-scale computing resources

Accelerate advances in speech synthesis

Accelerate advances in voice quality

Accelerate advances in pronunciation accuracy

Review experiment results

Iterate on model architectures for speech generation

Collaborate with software engineers to optimize model performance

Align research priorities with customer needs

Participate in science reviews

Participate in paper reading groups

Participate in brainstorming sessions

How You'll Work.

Team & Collaboration

Cross-team scientific strategy; Influence partner teams; Collaborate with talented peers; Partner with product managers; Fellow scientists across the organization

Full Job Description

The Alexa International Science team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong background in speech models (understanding and generation) and deep learning, to help build industry-leading Generative AI technology with speech-to-speech models and multilingual systems. At this level, you will drive cross-team scientific strategy for speech quality across international locales, influence partner teams, and deliver solutions that have broad impact across Alexa's global products. Key job responsibilities As a Senior Applied Scientist with the Alexa International team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in multilingual speech generation, text-to-speech synthesis, and speech-to-speech models. Your work will directly impact customers across multiple languages in the form of natural, expressive, and locale-appropriate voice experiences for Alexa+. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in speech synthesis, voice quality, and pronunciation accuracy for non-English locales. The ideal candidate possesses a solid understanding of machine learning, speech synthesis (TTS/S2S), multilingual phonetics, modern model architectures, and evaluation methodology. They thrive in a fast-paced environment, tackle complex challenges in low-resource language settings, excel at delivering impactful solutions while iterating based on customer feedback, and are able to influence and align multiple teams around a shared scientific vision for international speech quality. A day in the life You will start your day reviewing experiment results and iterating on model architectures for speech generation. You will collaborate with software engineers to optimize model performance for production deployment, and partner with product managers to align research priorities with customer needs. You will par

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