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Applied Scientist II, Learning Solutions Science

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Amazon
Full Time position
Listed on 2026-09-02
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
Position: Applied Scientist II, Central Learning Solutions Science

Applied Scientist

The Central Learning Solutions (CLS) Science team in Amazon Operations builds state-of-the-art solutions for enhancing leadership and associate development across the organization. We develop technology and mechanisms to map the learner journeys, answer real-time questions through chat assistants, and drive the right interventions at the right time. As an Applied Scientist on the team, you will play a critical role in driving the design, research, and development of these science initiatives.

The ideal candidate will lead the research on learning and development trends, and develop impactful learning journey roadmap that align with organizational goals and priorities. By parsing the information of different learning courses, they will utilize the latest advances in Gen AI technology to generate the personalized recommendations in real-time for the leadership and associates through chat assistants. As a part of this role, this candidate will collaborate with a large team of experts in the field and move the state of learning experience research forward.

They should have the ability to communicate the science insights effectively to both technical and non-technical audiences.

Key job responsibilities:

  • Apply science models to extract actionable information from learning feedback
  • Build recommender systems to generate personalized learning interventions for Ops employees to drive business outcomes and behavioral changes
  • Leverage GenAI/Large Language Model (LLM) technology for scaling and automating learning experience workflows
  • Design and implement metrics to evaluate the effectiveness of AI models
  • Present deep dives and analysis to both technical and non-technical stakeholders, ensuring clarity and understanding and influencing business partners
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