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Applied Scientist, SP Agentic Intelligence

Amazon

Seattle, WAJob$136–184K/yrSeen 1 day agoSeen in employer's feed 1 day ago

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At a glance

Compensation
$136–184K/yr
Location
Seattle, WA
Work Authorization
Not specified

Olive focuses on jobs in the United States, including remote roles you can work from there.

Job overview

Amazon is seeking an Applied Scientist to help define and build the next generation of Seller Assistant, a GenAI-first, multi-agent system. The scientist will partner with scientists and engineers to develop production-grade agentic capabilities, owning work from customer insight through product launch. The role focuses on machine learning and generative AI models and capabilities for Amazon sellers.

Skills & qualifications

RequiredNice to have

Skills

Java, requiredC++, requiredPython, requiredSQL, requiredRDBMS, requiredData Warehousing, requiredAlgorithm Implementation, nice to haveMachine Learning Toolkits, nice to haveSelf-Developed Code, nice to have

Qualifications

Java, C++, Python or Related Language, requiredSQL and RDBMS or Data Warehouse Experience, requiredTop-Tier Peer-Reviewed Publications, nice to have

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off
Parental Leave

Full job description

Description

Amazon Seller Assistant is our flagship GenAI-first, multi-agent system that reimagines seller experience. Our vision is to provide each seller with a proactive, autonomous, agentic assistant that understands their business and helps them navigate the complexities of selling by anticipating their needs, surfacing insights, resolving issues, taking actions on their behalf, and helping them grow. Amazon Seller Assistant helps millions of sellers on Amazon serve billions of customers worldwide.

We are seeking a world-class Applied Scientist to help define and build the next generation of Amazon Seller Assistant. You will partner with top-tier scientists and engineers to launch production-grade agentic capabilities at Amazon's scale — owning your problem space end-to-end, from a crisp customer insight to a shipped product that millions of sellers rely on.

Key job responsibilities

  • Use state-of-the-art Machine Learning and Generative AI techniques to create the next generation of the tools that empower Amazon's Selling Partners to succeed.

  • Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions.

  • Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features.

  • Establish scalable, efficient, automated processes for large scale data analyses, model benchmarking, model validation and model implementation.

  • Research and implement novel machine learning and statistical approaches.

  • Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment.

Basic Qualifications

  • Experience programming in Java, C++, Python or related language

  • Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

Preferred Qualifications

  • Experience implementing algorithms using both toolkits and self-developed code

  • Have publications at top-tier peer-reviewed conferences 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 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 - 136,000.00 - 184,000.00 USD annually

How this job compares

Set against the 956 open Applied Scientist jobs on Olive Jobs, counted November 13, 2026.

Pay
  • This posting$136–184K/yr
  • Washington median$143–226K/yr243 salary ranges
  • US median$158–249K/yr917 salary ranges

This range's midpoint, $160K, is 19% below the Washington median midpoint ($197K) — in the lowest quarter of Applied Scientist salary ranges in Washington.

Openings
Olive Jobs lists 249 open Applied Scientist jobs in Washington and 956 across the US. 1% of them nationwide are listed as remote or flexible.
Hiring the most in Washington
Experience
Applied Scientist postings that state a minimum ask for 4 years of experience at the median; the middle half ask for 3 to 6 years (783 postings).
Education
309 of the 956 open Applied Scientist jobs (32%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 13, 2026. Figures based on too few postings are left out.

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