Applied Scientist, Customer360
Amazon - Seattle, Washington, USA
Posted Apr 20, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Applied Scientist, Customer360 Seattle, Washington, USA Are you a scientist interested in pushing the state of the art in LLMs, Information Retrieval, and Recommendation Systems? Are you interested in innovating on behalf of millions of customers, helping them accomplish their every day goals? Answer yes to any of these questions, and you will be a great fit for our team at Amazon. With the rise of Generative AI and LLMs, customer expectations for deeply personalized experiences have increased. To meet this challenge, we're seeking a Applied Scientist to help develop a unified understanding of customers across Amazon's diverse range of businesses and offerings. This initiative will revolutionize how we understand and serve our customers, leveraging advanced AI and machine learning techniques to uncover insights from seemingly unrelated interactions across our services. By creating a seamless, personalized experience that adapts in real-time to customer preferences and behaviors, we aim to set new industry standards for customer-centric, AI-powered personalization. As a leader in this initiative, you'll drive technological breakthroughs that will directly enhance millions of customer interactions daily. Key job responsibilities As an Applied Scientist in our team, you will be responsible for the research, design, and development of new AI technologies for personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations, information retrieval and large language models. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include inventing, experimenting with, and launching new features, products and systems.
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