Highlights
You will work alongside a team of passionate engineers and scientists to solve problems like intelligent offer extraction, automated product listing enrichment, and AI powered selection tools that operate at internet scale. We are building the next generation of generative AI backed solutions to power critical customer facing shopping experiences across all Amazon surfaces, including the Amazon app, web, Alexa, Rufus, and beyond.
Numbers & Facts
| Location | Seattle, WA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
Description
Do you want to build software systems powered by generative AI that serve hundreds of millions of customers? The OAS Offers Tech organization owns the systems which make the world"s product catalog available on Amazon and ensure they are accurate, complete, and highly available to customers at scale. We are building the next generation of generative AI backed solutions to power critical customer facing shopping experiences across all Amazon surfaces, including the Amazon app, web, Alexa, Rufus, and beyond.
As an SDE 2 on this team, you will own the end to end design and delivery of systems that leverage state of the art deep learning and generative models. You will work alongside a team of passionate engineers and scientists to solve problems like intelligent offer extraction, automated product listing enrichment, and AI powered selection tools that operate at internet scale. You will drive technical decisions, navigate ambiguity, and influence the direction of our architecture.
This is a unique opportunity to build experiences used by hundreds of millions of people worldwide while tackling technical challenges at the intersection of large scale distributed systems and generative AI. If you are excited about shipping high impact, customer facing products and want to shape the future of how customers discover and purchase products on Amazon, we would love to hear from you.
Key job responsibilities
As a software developer in this role, you will:
- Design, develop, and maintain services that leverage large language models and generative AI to power intelligent shopping experiences at scale.
- Build and own distributed software components powering end to end production selection processing pipelines, from ingestion of the world"s product catalog through to making offers available for customers.
- Develop deep understanding of Amazon"s catalog systems that power the shopping experience, and influence their evolution to support next generation selection and offer processing.
- Collaborate with applied scientists to process massive datasets, scale ML models, and define evaluation criteria that drive customer experience quality.
- Lead tech strategy by defining data enrichment pipelines, model optimization frameworks, and evaluation methodologies. Own system architecture decisions that enable reliable, scalable infrastructure.
- Prototype new technologies, evaluate technical feasibility, and bring generative AI techniques into production.
- Proactively identify and resolve operational gaps across the systems you own. Raise the technical bar through meaningful code reviews and constructive feedback to teammates at all levels.
- Mentor junior engineers through design guidance and operational excellence, helping grow the team"s overall capability.
About Company
At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles