Applied Scientist II Sponsored Products Marketplace Intelligence Jobs 2026 at Amazon Seattle
Amazon Services LLC is hiring an Applied Scientist II for Sponsored Products Marketplace Intelligence in Seattle, Washington with annual compensation between $142,800 and $193,200. This specialized position develops real-time machine learning algorithms allocating billions of ads daily while balancing advertiser needs, shopper experience, and marketplace growth through generative AI technologies.
The role suits experienced data scientists with 3-plus years building models for business applications who possess PhD or Master’s degrees with 4-plus years in Computer Science, Computer Engineering, Machine Learning, or related fields. If you thrive in product-focused, data-driven environments, have practical experience with large language models and generative AI for production, and enjoy solving complex optimization challenges, Amazon offers prestigious opportunity shaping the future of advertising technology.
Job Overview
Amazon’s Sponsored Products and Brands team reimagines advertising through industry-leading generative AI technologies, transforming how millions discover products and engage with brands. The Marketplace Intelligence team’s Interleaving group focuses on experimenting and innovating to grow Sponsored Products through improved ad ranking and allocation.
Your work centers on identifying unique opportunities creating customized shopping experiences for Amazon’s growing marketplaces worldwide. Collaborating with retail partner teams, product managers, software engineers, and technical program managers, you’ll design, run, and analyze experiments improving experiences for millions while driving quantifiable revenue impact.
The position tackles challenging science and business problems developing efficient algorithms for multi-objective optimization, AI control methods finding operating points for ad marketplaces, and automating data analysis. You’ll perform hands-on analysis of enormous datasets developing insights improving shopper experience without compromising ad revenue.
Available Positions
Applied Scientist II Sponsored Products Marketplace Intelligence
The scientist develops real-time machine learning algorithms allocating billions of ads per day in advertising auctions. Creating efficient multi-objective optimization algorithms and AI control methods, designing and implementing data science solutions, performing hands-on modeling of enormous datasets, driving end-to-end machine learning projects with high ambiguity and complexity, and running A/B experiments with statistical analysis comprises core responsibilities.
Eligibility Criteria
Educational Requirements
PhD or Master’s degree with 4-plus years of experience in Computer Science, Computer Engineering, Machine Learning, or related fields demonstrates required academic foundation.
Professional Experience
Three-plus years building models for business applications proves practical capabilities. Experience programming in Java, C++, Python, or related languages enables implementation. Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing demonstrates technical breadth.
Preferred Qualifications
Unix/Linux experience and professional software development experience strengthen candidacy though aren’t mandatory.
Age Requirements
No age restrictions apply. Amazon evaluates candidates based on technical capabilities and experience.
How to Apply
Visit the official posting at Amazon careers portal where complete position details appear.
Prepare your resume emphasizing machine learning model development, specific business application projects, programming expertise, large-scale data analysis experience, and any LLM or generative AI production work.
Apply through Amazon’s jobs system and monitor communications regarding interview scheduling.
Important Instructions
This is an Applied Scientist II position requiring established expertise in machine learning and production systems. Entry-level data scientists or those without business application model development experience will find this beyond current capabilities.
Practical experience with LLMs and generative AI for production environments, while not explicitly required, provides significant advantages given the team’s focus on generative AI technologies.
Seattle residency or relocation willingness is essential for this on-site position requiring collaboration with cross-functional teams.
Deadline
No application deadline specified. Amazon likely reviews candidates continuously for this applied scientist position.
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Common Questions
Can candidates with Master’s degrees compete against PhD holders?
Yes, Master’s degree holders with 4-plus years of relevant experience explicitly qualify meeting educational requirements. However, PhD candidates often hold advantages in research methodology, experimental design, and theoretical foundations valuable for applied science roles. Master’s candidates should emphasize practical business application successes, production system experience, and quantifiable impact demonstrating capabilities compensating for less extensive academic research backgrounds.
What does allocating billions of ads per day actually involve?
Amazon’s advertising system processes billions of ad auction decisions daily determining which ads appear for which searches or product pages and in what order. Algorithms must evaluate advertiser bids, predicted click-through rates, conversion probabilities, and multiple business objectives in milliseconds per auction. Your work would optimize these real-time decisions balancing revenue maximization with shopper experience quality across enormous scale requiring highly efficient algorithms and distributed computing architectures.
How important is generative AI experience for this role?
The job description explicitly mentions the team is “re-imagining the advertising landscape through industry leading generative AI technologies” and seeks “practical experience with LLMs / GenAI for production.” While not listed as hard requirement, generative AI expertise appears central to the team’s direction. Candidates without LLM experience should demonstrate strong machine learning fundamentals and quick learning ability, though those with production generative AI experience hold substantial competitive advantages.
Final Thoughts
Amazon’s Applied Scientist II position offers exceptional opportunity with $142,800-$193,200 annual compensation developing cutting-edge machine learning systems powering advertising experiences for millions. The role combines technical challenge with meaningful business impact at massive scale.
If you hold PhD or Master’s degree with 4-plus years in Computer Science, Machine Learning, or related fields, bring 3-plus years building business application models, possess strong programming skills in Java, C++, or Python, have experience with algorithms and optimization, and can work in Seattle, submit your application through Amazon’s careers portal emphasizing your machine learning accomplishments and production system expertise.
