Applied Scientist, Alexa International Tech

Amazon

Cambridge

On-site

GBP 90,000 - 150,000

Full time

3 hours ago
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Job summary

Amazon Development Centre (London) Limited is seeking an Applied Scientist with a deep learning background to advance GenAI with LLMs and multimodal systems across Alexa. You will prototype novel algorithms, publish findings, and mentor others while transitioning research into production at scale.

The role focuses on speech generation and culturally aware, multilingual experiences for Alexa users worldwide, requiring strong research credentials and hands-on software development in Java, C++, and

Qualifications

  • PhD or Master's in CS, CE, or ML is required.
  • Publications or patents in top-tier venues are preferred.
  • Experience developing ML models for production is required.

Skills

Deep learning
GenAI
Model deployment

Education

PhD in CS/CE/ML
Master's in CS/CE/ML

Tools

Java
C++
Python
Unix/Linux

Job description

Description

The Alexa International Tech (AIT) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems.

As part of this team, you will have the opportunity to work on Niche technology that powers Alexa for hundreds of millions of customers worldwide. You will push the boundaries of what's possible with generative AI, developing novel approaches to make Alexa sound more natural, expressive, and culturally relevant across multiple languages and locales. This is a unique opportunity to combine fundamental research with large-scale production impact, working at the intersection of speech synthesis, large language models, and multimodal AI systems.

Key job responsibilities

As an Applied Scientist in the Alexa International Tech team within Alexa AI, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in multi-modal models, with a focus on speech generation. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to build machine learning models that deliver natural, expressive, and culturally appropriate speech experiences across multiple languages.

You will design and conduct experiments, prototype new approaches, and iterate rapidly to validate hypotheses. You will publish your findings at top-tier conferences and contribute to Amazon's intellectual property portfolio. You will collaborate closely with engineering teams to transition research prototypes into production systems that serve customers at scale.

This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations. You will mentor junior scientists, influence technical direction, and communicate results effectively to both technical and non-technical stakeholders.

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 optimise 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 is a global team with engineering teams in all 3 regions. Our vision is to build an Alexa assistant that is culturally relevant, linguistically fluent, and locally present. Our team operates with a startup mentality within Amazon, moving fast to deliver breakthrough experiences while maintaining the highest scientific rigor.

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

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.

Company

Amazon Development Centre (London) Limited

Job ID: A10438451

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