Applied Scientist II Personalization, Customer Intent Science

Are you interested in big data Machine Learning and building recommendation services using Generative AI If so Amazons Personalization team might be the right place for you.

Key job responsibilities
- Use AI and machine learning to create scalable solutions for business problems.
- Analyze and extract relevant information from large amounts of Amazons historical business data to help automate and optimize key processes.
- Design develop and evaluate highly scalable models for predictive learning.
- Work closely with software engineering teams to drive model implementations and new feature creations.
- Establish scalable efficient automated processes for large scale data analyses model development model validation and model implementation
- Research and implement novel machine learning and statistical approaches
- Review peer work and provide feedback

A day in the life
You are an Applied Scientist who loves big data and passionate about improving customer shopping experience by inventing and applying state-of-art technologies (e.g. LLMs/SLMs Machine Learning Natural Language Processing and Computer Vision) to build the next-generation product recommendation engine for Amazon. You have an entrepreneurial spirit know how to deliver are deeply technical and highly innovative. You work closely with software engineers to put algorithms into production. You also work in partnership with teams across Amazon to create enormous benefits for our customers.

About the team
We are part of Amazons Personalization organization a high-performing group with a huge impact on hundreds of millions of customers innovating at the intersection of customer experience machine learning and large-scale distributed systems. We run global experiments and our work has revolutionized e-commerce with features such as Compare with similar items Keep Shopping For Customers who bought this item also bought and Frequently bought together among others.

- 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 with generative deep learning models applicable to the creation of synthetic humans like CNNs GANs VAEs and NF
- Experience applying theoretical models in an applied environment
- Hold patents and/or published in top-tier AI/ML venues (conferences and/or journals).

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:

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