Applied Scientist, Customer360

Amazon

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profile Job Location:

Seattle, OR - USA

profile Monthly Salary: Not Disclosed
Posted on: 13 hours ago
Vacancies: 1 Vacancy

Job Summary

Are you a scientist interested in pushing the state of the art in Information Retrieval Large Language Models and Recommendation Systems Are you interested in innovating on behalf of millions of customers helping them accomplish their every day goals Do you wish you had access to large datasets and tremendous computational resources Do you want to join a team of capable scientist and engineers building the future of e-commerce Answer yes to any of these questions and you will be a great fit for our team at Amazon.

Our team is part of Amazons Personalization organization a high-performing group that leverages Amazons expertise in machine learning generative AI large-scale data systems and user experience design to deliver the best shopping experiences for our customers. Our team builds large-scale machine-learning solutions that delight customers with personalized and up-to-date recommendations that are related to their interests. We are a team uniquely placed within Amazon to have a direct window of opportunity to influence how customers will think about their shopping journey in the future.



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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A day in the life
You will solve real-world problems by getting and analyzing large amounts of data generate insights and opportunities execute experiments and develop statistical and ML models. The team is driven by business needs which requires collaboration with other Scientists Engineers and Product Managers across the organization. You get to influence stakeholders with clear communication skills. You innovate on behalf of the customer and strategically build features. You will mentor junior members and help them grow.

About the team
The team values innovations and offers a safe place to try fail and learn while fostering a culture of continuous improvement. Everyone is a leader and owner for everything we do as a team. Our team offers creative space with entrepreneurial work environment focusing on customer obsession.

- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- 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
- Experience in designing experiments and statistical analysis of results
- Experience in patents or publications at top-tier peer-reviewed conferences or journals

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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 142800.00 - 193200.00 USD annually


Required Experience:

IC

Are you a scientist interested in pushing the state of the art in Information Retrieval Large Language Models and Recommendation Systems Are you interested in innovating on behalf of millions of customers helping them accomplish their every day goals Do you wish you had access to large datasets and ...
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