Amazon Applied Scientist GenAI/LLM Sandstone 

United States, California, San Diego 

840144633

We are looking for an Applied Scientist to join our New York City team. As an Applied Scientist within Personalization, you will apply a range of methodologies to delight customers with personalized shopping experiences. You’ll develop approaches using Gen AI to create content that explains key terminology and product types in a category, recommends the right products, and asks and answers important product questions. You’ll build automated and human in the loop quality auditing techniques, build labelled datasets, and fine-tune models. You’ll develop algorithms to determine where in a customer’s shopping journey they are and evaluate impact of newly launched experiences. And you’ll partner closely with engineers to put your research and ideas into production on Amazon.com.
Key job responsibilities
Your impact will include:* Setting Science Strategy & Direction – Shape the roadmap for AI-driven personalization, pioneering Gen AI, sequence models, and reinforcement learning to deliver dynamic, context-aware recommendations.* Advancing AI-Powered Personalization – Design and refine ranking, retrieval, and recommendation models that adapt to customer behaviors while leveraging Gen AI to generate contextual insights, reducing reliance on manual curation.
* Building Scalable AI Pipelines – Develop automated model training, assessment, and deployment pipelines, integrating human-in-the-loop mechanisms to ensure model quality while minimizing intervention.
* Harnessing Amazon-Scale Data – Analyze vast amounts of historical and real-time data, applying LLMs and statistical techniques to extract actionable insights and improve recommendation effectiveness.
* Deploying & Experimenting at Scale – Validate models through offline benchmarking and large-scale A/B testing, continuously refining personalization strategies.
* Publishing & Thought Leadership – Share white papers in internal Amazon science forums, driving advancements in AI-powered personalization.A day in the life
As an Applied Scientist, you’ll be at the forefront of defining and driving science strategy across multiple personalization initiatives, working across teams to shape the future of AI-driven shopping experiences. You’ll leverage Generative AI, deep learning models, and predictive algorithms to drive projects from ideation to production.Beyond hands-on research and model development, you’ll lead cross-team knowledge sharing, mentor Applied Scientists and Software Engineers, and provide strategic ML consultation across Amazon. Your leadership will help align science efforts across initiatives, ensuring consistency, scalability, and innovation.

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.