Applied Scientist, Alexa International Tech

Amazon Amazon · Big Tech · London, United Kingdom · Machine Learning Science

Applied Scientist role focused on developing Generative AI (GenAI) technology with LLMs and multimodal systems, specifically for speech generation to make Alexa more natural, expressive, and culturally relevant across multiple languages. The role involves research, algorithm development, experimentation, publishing findings, and collaborating with engineering teams to productionize models.

What you'd actually do

  1. develop novel algorithms and modeling techniques to advance the state of the art in multi-modal models, with a focus on speech generation
  2. 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
  3. design and conduct experiments, prototype new approaches, and iterate rapidly to validate hypotheses
  4. publish your findings at top-tier conferences and contribute to Amazon's intellectual property portfolio
  5. collaborate closely with engineering teams to transition research prototypes into production systems that serve customers at scale

Skills

Required

  • deep learning background
  • novel algorithms and modeling techniques
  • multi-modal models
  • speech generation
  • machine learning models
  • speech experiences
  • experiments
  • prototype new approaches
  • publish findings
  • intellectual property portfolio
  • transition research prototypes into production systems
  • pragmatic technical leader
  • ambiguity
  • summarizing complex data and models
  • clear visual and written explanations
  • mentor junior scientists
  • influence technical direction
  • communicate results effectively
  • 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

Nice to have

  • Unix/Linux
  • professional software development

What the JD emphasized

  • top-tier conferences
  • publications

Other signals

  • Generative AI
  • Large Language Models
  • multimodal systems
  • speech synthesis
  • speech generation