Six Figure Work

Applied Scientist II, US Prime and Marketing Tech

Amazon

Company websiteamazon.com (Amazon, opens in new tab)

Base salary $142,800  to $193,200

Employer-published annual base salary, USD. Advertised base range in Seattle, WA

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  • LocationSeattle, WA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (3 h ago) · observed since

About this job

Are you excited to help customers discover the hottest and best reviewed products?

The Discovery Tech team helps customers discover and engage with new, popular and relevant products across Amazon worldwide. We do this by combining technology, science, and innovation to build new customer-facing features and experiences alongside advanced tools for marketers. You will be responsible for creating and building critical services that automatically generate, target, and optimize Amazon’s cross-category marketing and merchandising. Through the enablement of intelligent marketing campaigns that leverage machine-learning models, you will help to deliver the best possible shopping experience for Amazon’s customers all over the globe.

We are looking for analytical problem solvers who enjoy diving into data, excited about data science and statistics, can multi-task, and can credibly interface between engineering teams and business stakeholders. Your analytical abilities, business understanding, and technical savvy will be used to identify specific and actionable opportunities to solve existing business problems and look around corners for future opportunities. Your domain spans the design, development, testing, and deployment of data-driven and highly scalable machine learning solutions in product recommendation.

As an Applied Scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.

To know more about Amazon science, please visit https://www.amazon.science

Basic Qualifications

  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • 3+ years of building models for business application experience
  • PhD, or Master's 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

Preferred Qualifications

  • PhD or equivalent research experience, or a PhD and experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
  • Experience creating processes and improving tools that have measurably improved productivity, quality, or advertiser experience
  • 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience
  • Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices
  • Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences

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. 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 https://amazon.jobs/en/benefits.

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

Source: Amazon · View original posting (opens in new tab)

Pay in context

This role's base floor ($142,800) is above 29% of the 355 Data & ML roles in Washington listed on this site; 69 others list the same floor. Their median floor is $143,700; the middle half runs from $136,000 to $169,050.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.

This range next to 6 other live Amazon roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Amazon roles with the nearest advertised base floor
RolePublished base
Applied Scientist II, US Prime and Marketing Tech (this listing)$142,800 - $193,200
Design Technologist II, Elevated Shopping Experience$145,000 - $196,100
Senior Industrial Designer$145,200 - $196,500
Data Center Area Operations Manager$145,400 - $254,500
MDD DCO Cluster Manager$145,400 - $254,500
Data Center Area Operations Manager, Data Center Operations$145,400 - $254,500
Data Center Operations Cluster Manager$145,400 - $254,500

Same $100K to $400K scale as every card. All Amazon roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
Observed since
Employer-stated posting date
2026-11-02
Where this pay comes from

Location as the employer wrote it: US, WA, Seattle

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

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.

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