Sr. Applied Scientist, Alexa International in Cambridge

Sr. Applied Scientist, Alexa International in Cambridge

Cambridge Full-Time 63000 - 77000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Drive innovative speech models and collaborate on cutting-edge AI technology.
  • Company: Join Amazon's Alexa International team, a leader in global AI solutions.
  • Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
  • Other info: Dynamic team environment focused on solving complex challenges in AI and speech technology.
  • Why this job: Make a real impact on how Alexa communicates globally with multilingual voice experiences.
  • Qualifications: Master's or PhD in relevant fields, programming skills, and experience in machine learning.

The predicted salary is between 63000 - 77000 £ per year.

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., 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.

  • Master's degree, or Ph D
  • 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
  • Preferred Qualifications
  • Experience with modeling tools such as R, scikit-learn, Spark MLLib, Mx Net, Tensorflow, numpy, scipy etc.
  • Experience with large scale distributed systems such as Hadoop, Spark etc.

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 participate in science reviews, paper reading groups, and brainstorming sessions with fellow scientists across the organization.

Your work directly impacts how Alexa sounds and communicates with customers in international markets, making every day an opportunity to solve meaningful problems at global scale.

About the team

The Alexa International Tech team helps Alexa' global expansion scalable, reliable, and locally relevant for customers.

We build the science, engineering, evaluation, and quality platforms behind global AI product delivery: multi-model AI orchestration, multilingual model and data readiness, speech and language quality, reward modeling, synthetic data generation, automated evaluation, developer tooling, defect analysis, and launch mechanisms.

Our work sits at the intersection of applied AI, speech, distributed systems, developer experience, and customer quality automation.

The goal is simple but hard: help teams build Alexa+ experiences once and scale them across languages, countries, devices, models, and customer expectations without reinventing the same mechanisms every time.

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.

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Sr. Applied Scientist, Alexa International in Cambridge employer: Amazon.com, Inc

At Amazon, we pride ourselves on being an exceptional employer, particularly for the role of Senior Applied Scientist in our Alexa International team. Our vibrant work culture fosters innovation and collaboration, providing employees with ample opportunities for professional growth while working on cutting-edge Generative AI technology that impacts customers globally. With access to vast resources and a commitment to diversity, we empower our team members to tackle complex challenges and make meaningful contributions in a fast-paced environment.

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Contact Details:

Amazon.com, Inc Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Sr. Applied Scientist, Alexa International in Cambridge

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We think you need these skills to ace Sr. Applied Scientist, Alexa International in Cambridge

Speech Models Understanding
Deep Learning
Generative AI Technology
Multilingual Systems
Machine Learning
Speech Synthesis (TTS/S2S)
Multilingual Phonetics

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