Software Development Engineer, SupplyTech Sciences - Amazon Advertising

Amazon.com Inc

Seattle, WA

JOB DETAILS
SKILLS
A/B Testing, Advertising, Automation, Business Growth, Business Support, Code Reviews, Data Analysis, Data Management, Data Processing, Machine Learning, Machine Tool, Online Advertising, Operational Audit, Performance Analysis, Pricing, Product Design, Production Systems, Scalable System Development, Software Administration, Software Design, Software Development, Software Engineering, User Interface/Experience (UI/UX)
LOCATION
Seattle, WA
POSTED
2 days ago

Amazon continues to grow its Advertising business to support the expanding online advertising market. The Supply Technology organization develops and maintains software solutions that assist our supply-side partners in optimizing monetization and improving user experiences. Our technology emphasizes flexibility, scalability, and compatibility with internal and external advertising platforms.

The Supply Technology Sciences team enables data-driven decision-making through real-time data processing, analytics tools, and practical insights. Our software supports yield optimization, dynamic pricing, and performance analytics to help supply-side partners improve revenue. We deliver software products and infrastructure designed for managing large-scale data, analytics, and machine learning tasks.

In this role, you will develop and maintain scalable software solutions supporting data pipelines, analytical tools, and machine learning infrastructure. You will collaborate with scientists, analysts, and product managers to deliver production-grade software. Ideal candidates have strong technical skills, experience in building reliable software, and can effectively operate in a dynamic environment.

Key job responsibilities

  • Design and develop scalable software systems and data infrastructure to address business challenges.
  • Implement efficient and robust services to support ML model training, and deployment.
  • Collaborate with scientists and analysts to operationalize machine learning models and integrate them into production systems.
  • Conduct thorough code reviews, ensuring reliability, efficiency, and maintainability of solutions.
  • Develop and run regular A/B testing infrastructure, ensuring accuracy and scalability in experiments.
  • Continuously enhance the scalability, automation, and efficiency of large-scale data analytics and machine learning processes.

About the Company

A

Amazon.com Inc

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
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles