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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 - **Experience:** Experienced - **Salary:** $142,800.0 - $193,200.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Computer Vision, Big Data, Business Software, C++ (Programming Language), Data Mining, Distributed Systems, Python (Programming Language), Machine Learning, Natural Language Processing, Parsing, Software Engineering, High Performance Computing, Large Language Models, Deep Learning, Model Validation, Generative AI, Variational Autoencoders - **Published:** August 10, 2026 - **Apply:** https://www.amazon.jobs/en/jobs/10496447/applied-scientist-ii-personalization-customer-intent-science ## About the Role 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 - Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF - Experience applying theoretical models in an applied environment - Hold patents and/or published in top-tier AI/ML venues (conferences and/or journals). ## Description Are you interested in big data, Machine Learning, and building recommendation services using Generative AI? If so, Amazon's Personalization team might be the right place for you., Use AI and machine learning to create scalable solutions for business problems. - Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes. - Design, develop and evaluate highly scalable models for predictive learning. - Work closely with software engineering teams to drive model implementations and new feature creations. - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation - Research and implement novel machine learning and statistical approaches - Review peer work and provide feedback A day in the life You are an Applied Scientist who loves big data and passionate about improving customer shopping experience by inventing and applying state-of-art technologies (e.g., LLMs/SLMs, Machine Learning, Natural Language Processing, and Computer Vision) to build the next-generation product recommendation engine for Amazon. You have an entrepreneurial spirit, know how to deliver, are deeply technical and highly innovative. You work closely with software engineers to put algorithms into production. You also work in partnership with teams across Amazon to create enormous benefits for our customers. About the team We are part of Amazon's Personalization organization, a high-performing group with a huge impact on hundreds of millions of customers, innovating at the intersection of customer experience, machine learning, and large-scale distributed systems. We run global experiments and our work has revolutionized e-commerce with features such as "Compare with similar items", "Keep Shopping For", "Customers who bought this item also bought", and, "Frequently bought together" among others. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Building a Compiler with C#](https://www.wearedevelopers.com/videos/116-building-a-compiler-with-c) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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