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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Applied Scientist II - Personalization, Customer Intent Science - **Company:** Amazon.com, Inc. - **Location:** Seattle, WA, United States - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Data Analysis, Big Data, Business Software, C++ (Programming Language), Data Mining, Distributed Systems, Python (Programming Language), Model Validation, Data Analytics - **Published:** August 11, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/applied-scientist-ii-personalization-customer-intent-science-seattle-wa-usa-58898881 ## About the Role Experteer Overview In this Applied Scientist role, you'll use AI and machine learning to build scalable, data-driven solutions that improve Amazon's customer shopping experience. You'll work with cross-functional teams to productionize models and create features for a state-of-the-art recommendation engine. The role emphasizes large-scale data analysis, model development, and experimentation to drive business impact. This is a hands-on, innovative position at the intersection of ML, NLP, and distributed systems. Compensation / Benefits * Build and evaluate scalable predictive models for business use * Extract insights from large historical data to optimize processes * Collaborate with software engineers to productionize models and features * Establish automated, scalable processes for data analysis, model validation and deployment * Research and implement novel ML and statistical approaches * Review peer work and provide constructive feedback Tasks * 3+ years of building models for business applications * PhD, or Master's degree and 4+ years in CS, CE, ML or related field * Experience programming in Java, C++, Python or related languages * Experience in algorithms and data structures, data mining, parallel and distributed computing, numerical optimization Key requirements * health insurance (medical, dental, vision) * 401(k) matching * paid time off * parential leave * RSUs and sign-on incentives * life & AD&D insurance ## Description Experteer Overview In this Applied Scientist role, you'll use AI and machine learning to build scalable, data-driven solutions that improve Amazon's customer shopping experience. You'll work with cross-functional teams to productionize models and create features for a state-of-the-art recommendation engine. The role emphasizes large-scale data analysis, model development, and experimentation to drive business impact. This is a hands-on, innovative position at the intersection of ML, NLP, and distributed systems. Compensation / Benefits * Build and evaluate scalable predictive models for business use * Extract insights from large historical data to optimize processes * Collaborate with software engineers to productionize models and features * Establish automated, scalable processes for data analysis, model validation and deployment * Research and implement novel ML and statistical approaches * Review peer work and provide constructive feedback Tasks * 3+ years of building models for business applications * PhD, or Master's degree and 4+ years in CS, CE, ML or related field * Experience programming in Java, C++, Python or related languages * Experience in algorithms and data structures, data mining, parallel and distributed computing, numerical optimization Key requirements * health insurance (medical, dental, vision) * 401(k) matching * paid time off * parential leave * RSUs and sign-on incentives * life & AD&D insurance ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Mining Accessibility](https://www.wearedevelopers.com/videos/802-data-mining-accessibility) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)