← All roles

Applied Scientist, Personalization, Personalization

Amazon· Applied Science
Apply on company site
HaifaFull-timePosted 4mo ago

About the role

We are seeking an Applied Scientist to help build Amazon’s next-generation customer memory and personalization systems. The role focuses on designing ML/LLM-powered solutions for extracting, validating, and applying customer knowledge in production to power real-time personalization across the shopping experience.

Responsibilities

  • Design and build ML and LLM-powered solutions for Amazon's customer memory and personalization systems
  • Work on how customer knowledge is extracted, validated, and applied in production systems
  • Own end-to-end delivery of ML solutions from problem formulation and modeling to offline/online experimentation and production deployment at scale
  • Deliver high-quality, scalable systems that power customer-facing experiences
  • Drive work across fact extraction, memory quality and lifecycle, temporal reasoning, and grounded personalization; balance quality, latency, and coverage
  • Collaborate with engineering and product teams to translate research into measurable customer impact

Qualifications

  • Knowledge of programming languages such as C/C++, Python, Java or Perl
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • PhD, or a Master's degree and experience in CS, CE, ML or related field research
  • Strong communication and collaboration skills

Skills

Required:Programming languagesResearch and publicationsCommunication and collaboration
Nice to have:ML/LLM developmentBig data / cloud technologiesInformation retrieval / recommender systems / NLP / personalization algorithms
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

Amazon.com, Inc. or its affiliates

liquid-ai-recruiting-target
Company profileWebsite

More open roles at Amazon