Applied Scientist, Amazon Customer Service

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

This role focuses on applying Generative AI, ML, and NLP to enhance customer service experiences within Amazon. The Applied Scientist will own the definition and implementation of AI-driven innovations, transforming business requirements into technology solutions. Key responsibilities include developing novel algorithms, analyzing data for insights, and collaborating with cross-functional teams to integrate models into production systems.

What you'd actually do

  1. Develop innovative solutions to complex problems (e.g., Automated Reasoning for Trusted AI-Enabled Customer Service).
  2. Apply technical expertise to implement novel algorithms and modeling solutions, in collaboration with other scientists and engineers.
  3. Analyze data and define metrics to identify actionable insights and measure improvements in customer experience.
  4. Communicate results and insights to both technical and non-technical audiences through written reports, presentations, and internal/external publications.
  5. Collaborate with product management and engineering teams to integrate and optimize models in production systems.

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 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
  • AI techniques (e.g., automated reasoning, reasoning, planning, knowledge representation)
  • text analysis
  • embeddings
  • language modeling
  • generation

Nice to have

  • Experience using Unix/Linux
  • Experience in professional software development

What the JD emphasized

  • building models for business application experience
  • patents or publications at top-tier peer-reviewed conferences or journals

Other signals

  • Generative AI
  • Machine Learning
  • Natural Language Processing
  • Ontology
  • customer service