Applied Science Manager, Alexa International

Applied Science Manager, Alexa International

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Amazon Science

At a Glance

  • Tasks: Lead a team to develop cutting-edge multilingual speech technology for Alexa.
  • Company: Join Amazon's innovative Alexa International Science team.
  • Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
  • Other info: Collaborate with top-tier universities and drive academic partnerships.
  • Why this job: Make a global impact by enhancing voice experiences in 20+ languages.
  • Qualifications: Experience in managing scientists and expertise in machine learning or deep learning.

The predicted salary is between 60000 - 80000 £ per year.

The Alexa International Science team is looking for a passionate, talented, and inventive Applied Science Manager with a strong background in speech models (understanding and generation) and deep learning, to lead a team building industry‑leading generative AI technology with speech‑to‑speech models and multilingual systems. You will lead a team of Applied Scientists, drive cross‑team scientific strategy for speech quality across international locales, influence partner teams, and deliver solutions with broad impact across Alexa’s global products. Your team’s work will advance the state of the art in multilingual speech generation, text‑to‑speech synthesis, and speech‑to‑speech models, directly impacting customers across 20+ languages with natural, expressive, and locale‑appropriate voice experiences for Alexa+.

Core Leadership and Team Management

  • Lead and manage applied scientists focused on multilingual speech generation and voice personality
  • Build and develop high‑performing science teams focused on speech synthesis, pronunciation, evaluation, and multilingual model adaptation
  • Set technical direction and raise the bar on scientific rigor, experimental methodology, and publication quality
  • Hire, mentor, and grow scientists at multiple levels

Cross‑Organizational Collaboration

  • Partner with cross‑org stakeholders to align goals and accelerate delivery
  • Establish clear communication channels and workflows across organizational boundaries
  • Drive alignment between science roadmaps and product launch timelines across 20+ locales

Delivery and Execution

  • Own end‑to‑end delivery of speech quality improvements from research through production deployment
  • Define success metrics and evaluation frameworks for multilingual speech quality
  • Balance long‑term research investments with near‑term launch commitments

Key Job Responsibilities

  • Lead and manage a team of Applied and Data scientists responsible for building and enhancing capabilities for Alexa+
  • Collaborate with cross‑functional teams to build methods to align Amazon’s LLMs with human preferences
  • Identify and prioritize research opportunities that have the potential to significantly impact our AI systems
  • Mentor and guide team members to achieve their career goals and objectives
  • Communicate research findings and progress to senior leadership and stakeholders
  • Rapidly experiment and drive productisation to deliver customer impact
  • Drive academic partnership with top‑tier Indian university as part of the org’s AI/ML Center initiative
  • Participate in and drive science publications in peer‑reviewed venues of repute

About the Team

The Alexa International Science team drives multilingual AI quality for Alexa+, ensuring customers across all supported languages receive a natural, accurate, and culturally appropriate voice experience. We work at the intersection of speech science, LLMs, and international product launches.

Basic Qualifications

  • Experience directly managing scientists or machine learning engineers
  • Master’s degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or PhD
  • Knowledge of ML, NLP, information retrieval and analytics
  • Experience building complex highly‑scalable systems that involve predictive models or applications of machine learning

Preferred Qualifications

  • Experience building machine learning models or developing algorithms for business application
  • Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
Amazon Science

Contact Details:

Amazon Science Recruitment Team

We think you need these skills to ace Applied Science Manager, Alexa International

Speech Models
Deep Learning
Multilingual Systems
Team Leadership
Scientific Strategy
Cross-Organizational Collaboration
Research Methodology