Amazon is investing heavily in building a world class advertising business and developing a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses for driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.

Sponsored Products DP Experience and Marketplace org is looking for a Software Engineer with Machine Learning knowledge. As an engineer on the team, you will drive major product and engineering initiatives, build large-scale, low-latency distributed systems, build ML infrastructure and data processing pipelines. You will work with Product Managers and Scientists to solve complex problems at Amazon-scale, bringing your engineering skills together to launch solutions that will have direct customer impact.

If you are looking to make an impact, this is the team for you. You will not only have the satisfaction of seeing your work directly on the Amazon website where it will be viewed by tens of millions of customers and drive quantifiable revenue impact, but will also have the opportunity to help shape our engineering and product roadmaps. We are not bound by legacy systems and have a broad mandate to experiment, which gives us great flexibility as we design and develop our services. You will have an opportunity to contribute across the full stack, growing and broadening your technical skills as you work in an environment that thrives on creativity, experimentation, and product innovation.



Key job responsibilities
Key job responsibilities
- designing, coding, troubleshooting, and supporting data pipelines and online ad serving systems. Continuously work to understand our customers and our business
- Architect and design ad serving systems that solve real-world customer use cases
- Integrate your solutions with high volume and low latency distributed systems
- Measure the impact and customer response to your solutions through rapid experimentation