Applied Scientist, Prime Video - Content Reasoning, Enrichment and Localization Team

Amazon Amazon · Big Tech · Seattle, WA · Applied Science

Applied Scientist role at Amazon Prime Video focusing on content reasoning, enrichment, and localization. The role involves research and application of machine learning, audio processing, and natural language understanding, with specific mention of multimodal machine translation, speech synthesis, speech analysis, and asset quality assessment. Requires experience in building models for business applications and a PhD or Master's degree. Familiarity with foundational models and speech synthesis is a plus.

What you'd actually do

  1. We work on a broad array of research areas and applications, including but not limited to multimodal machine translation, speech synthesis, speech analysis, and asset quality assessment.
  2. Candidates should be prepared to help drive innovation in one or more areas of machine learning, audio processing, and natural language understanding.
  3. As an Applied Scientist, you should be a strong communicator, able to describe scientifically rigorous work to business stakeholders of varying levels of technical sophistication.
  4. You will closely partner with the solution development teams, and should be intensely curious about how the research is moving the needle for business.
  5. Strong inter-personal and mentoring skills to develop applied science talent in the team is another important requirement.

Skills

Required

  • 3+ years of building models for business application experience
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • 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
  • audio processing
  • natural language understanding
  • machine learning

Nice to have

  • machine translation
  • foundational models
  • speech synthesis
  • Knowledge of standard speech and machine learning techniques
  • Have publications at top-tier peer-reviewed conferences or journals

What the JD emphasized

  • building models for business application experience
  • Strong inter-personal and mentoring skills to develop applied science talent in the team is another important requirement.

Other signals

  • multimodal machine translation
  • speech synthesis
  • speech analysis
  • asset quality assessment
  • machine learning
  • audio processing
  • natural language understanding
  • foundational models