Amazon.com Services LLC
Direct employer career site

Applied Scientist, Perfect Order Experience (POE)

Pay
$142,800 – $193,200 per year
Location
Seattle, WA
Listed
3 days ago

About the role

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.

In this role, you'll collaborate with top-tier scientists, engineers, and technical program managers (TPMs) to drive innovation in GenAI foundation models, adapt Large language model to our domain, develop efficient tabular foundation model, innovate on behavior foundation model. You will lead the effort to leverage Amazon's large-scale computing resources to accelerate advances in GenAI and frontier ML solutions. If you're enthusiastic about joining a dynamic and motivated team, this is your chance to be part of an exciting journey. Apply now and help us shape the future of seller support at Amazon!

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

Additional information

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Pay and benefits

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.

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

Read the original posting

From Amazon.com Services LLC's careers page, first listed on Rolev.ai on November 6, 2026. Rolev.ai is not the employer.

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Common questions

What is the salary for the Applied Scientist, Perfect Order Experience (POE) role at Amazon.com Services LLC?

The Applied Scientist, Perfect Order Experience (POE) posting at Amazon.com Services LLC states compensation of $142,800 – $193,200 per year. Final pay may depend on location, experience, and interview evaluation on Amazon.com Services LLC's official career site.

Where is the Applied Scientist, Perfect Order Experience (POE) job at Amazon.com Services LLC located?

This Applied Scientist, Perfect Order Experience (POE) position at Amazon.com Services LLC is located in Seattle, WA. Always check Amazon.com Services LLC's application page for specific state eligibility or relocation policies.

How do I apply for the Applied Scientist, Perfect Order Experience (POE) position at Amazon.com Services LLC?

This listing links directly to Amazon.com Services LLC's application page. You can apply directly on Amazon.com Services LLC's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.