Applied Scientist, Personalization, Personalization

About the role

We are seeking an Applied Scientist to help build Amazon’s next-generation customer memory and personalization systems. The team is building Amazon’s customer memory layer – a system that extracts, curates, and reasons over customer knowledge to power next-generation personalization.

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 the end-to-end delivery of ML solutions, from problem formulation and modeling to offline and online experimentation, and production deployment at scale.
• Deliver high-quality, scalable systems that power customer-facing experiences.
• Drive work across areas such as fact extraction, memory quality and lifecycle, temporal reasoning, and grounded personalization, while navigating tradeoffs between quality, latency, and coverage.
• Collaborate closely with engineering and product teams to translate research into measurable customer impact.

Requirements

• 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.
• Strong communication and collaboration skills.

Qualifications

• Research experience.
• Basic qualifications include knowledge of programming languages, experience in patents or publications, a PhD or Master's degree in CS, CE, ML or related fields.

Skills

• Experience in building and launching deep learning and machine learning models for business applications.
• Solid knowledge of big data and cloud technologies (e.g., Spark, AWS, etc.).
• Experience with information retrieval, recommender systems, natural language processing, and/or personalization algorithms.

Benefits

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit here.