Applied Scientist, Perfect Order Experience (POE)

Amazon

Seattle (WA)

On-site

USD 143,000 - 193,000

Full time

5 days ago
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Benefits offered by this job

Sign-on + RSUs
Health insurance
401(k) match
Paid time off
Parental leave

Job summary

Amazon is seeking an Applied Scientist for the Perfect Order Experience (POE) team in Seattle. You will build domain-specific foundation models and apply them to product risk detection, seller interactions, and predictive simulations across diverse conditions.

You’ll collaborate with business and engineering teams to deploy solutions, publish research, and contribute to a cutting-edge customer experience strategy.

Qualifications

  • 3+ years building models for business applications.
  • PhD, or Master’s degree and 4+ years of science, technology, engineering or related field experience.
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals.
  • Experience programming in Java, C++, Python or related language.

Responsibilities

  • Develop domain-specific foundation models.
  • Apply the domain-specific foundation model to product risk detection, seller interactions capturing, future seller behaviors prediction, and seller responses simulation across varied conditions.
  • Work with business and engineers to develop and deploy the solutions.

Skills

3+ years model building
Publications or patents

Education

PhD or MSc + 4+ years in STEM

Tools

Java
C++
Python

Job description

Applied Scientist, Perfect Order Experience (POE)

Job ID: 10544622 | Amazon.com Services LLC

We’re pioneering frontier science solutions to detect and treat product quality issues and enhance post-order experience in Amazon. Our goal is to enhance support for our diverse seller community and foster improved outcomes for both sellers and consumers for broader Amazon ecosystem. We are looking for passionate innovators who are excited about technology, driven by customer experience, and eager to make a lasting impact on the industry.

Key job responsibilities
  • Develop domain-specific foundation models.
  • Apply the domain-specific foundation model to product risk detection, seller interactions capturing, future seller behaviors prediction, and seller responses simulation across varied conditions.
  • Work with business and engineers to develop and deploy the solutions.
Basic Qualifications
  • 3+ years of building models for business application experience
  • PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience programming in Java, C++, Python or related language
  • Experience applying theoretical models in an applied environment
Preferred Qualifications
  • PhD
  • Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Final compensation will be determined based on factors including experience, qualifications, and location.

  • sign-on payments and restricted stock units (RSUs)
  • 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
  • parental leave

Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

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