Software Development Engineer - Shopping Personalization AI, Amazon Stores
Amazon · Tel Aviv-Yafo, Tel Aviv, ISR ·
- Category
- Software engineering
Builds and operates AI-driven shopping personalization features for Amazon Stores — LLM-powered recommendations, relevance explanations, and discovery experiences at Amazon scale. Day to day: designing large-scale distributed systems, running experiments with Product and Science teams, and shipping reliable AI features across web and mobile.
Amazon's Personalization organization builds the AI systems behind how hundreds of millions of customers discover and shop. We extract and reason over customer signals in real time, power LLM-driven recommendation experiences, and build AI-native discovery surfaces that combine products, content, and contextual recommendations. Our work sits at the intersection of generative AI, large-scale distributed systems, and customer-facing products, delivered through high-performance web and mobile experiences at Amazon scale.
In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build.
We are looking for a Software Development Engineer with sound technical judgment and a bias for action who takes ownership of problems end to end, communicates clearly, and cares about operational excellence - not just launching features, but making sure they hold up at scale. Someone who naturally raises the bar for the team: mentoring junior developers, advocating engineering best practices, and thinking beyond the immediate sprint.
Key job responsibilities
- Design, build, test, and operate production AI features used by multiple teams and operating at Amazon scale
- Deliver end-to-end solutions with focus on maintainability, scalability, performance, and reliability
- Collaborate with Product and Science to define experiences, run experiments, and iterate based on data
- Build AI-powered experiences including personalized recommendations, relevance explanations, and knowledge-driven features using LLMs and generative AI
- Define and implement measurement strategies including analytics events and experiment configurations to track engagement and retention
- Navigate ambiguity and make sound technical decisions in a problem space where established patterns don't always apply
About the team
Our team is part of Amazon's Personalization organization, a high-performing group that leverages Amazon's expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers.
Our vision is to enhance customer shopping experience on Amazon by leveraging personalization techniques. We strive to save customers valuable time by tailoring their journey to their individual needs, interests, and preferences. Our goal involves identifying personalization opportunities to develop and optimize customer experiences, thereby improving the overall search and discovery process across Amazon.
In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build.
We are looking for a Software Development Engineer with sound technical judgment and a bias for action who takes ownership of problems end to end, communicates clearly, and cares about operational excellence - not just launching features, but making sure they hold up at scale. Someone who naturally raises the bar for the team: mentoring junior developers, advocating engineering best practices, and thinking beyond the immediate sprint.
Key job responsibilities
- Design, build, test, and operate production AI features used by multiple teams and operating at Amazon scale
- Deliver end-to-end solutions with focus on maintainability, scalability, performance, and reliability
- Collaborate with Product and Science to define experiences, run experiments, and iterate based on data
- Build AI-powered experiences including personalized recommendations, relevance explanations, and knowledge-driven features using LLMs and generative AI
- Define and implement measurement strategies including analytics events and experiment configurations to track engagement and retention
- Navigate ambiguity and make sound technical decisions in a problem space where established patterns don't always apply
About the team
Our team is part of Amazon's Personalization organization, a high-performing group that leverages Amazon's expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers.
Our vision is to enhance customer shopping experience on Amazon by leveraging personalization techniques. We strive to save customers valuable time by tailoring their journey to their individual needs, interests, and preferences. Our goal involves identifying personalization opportunities to develop and optimize customer experiences, thereby improving the overall search and discovery process across Amazon.