Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses 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.

Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with advertised products with a high relevance bar and strict latency constraints. We work hand-in-hand with Machine Learning scientists to come up with novel solutions that deliver highly relevant ads. We consistently strive to improve the customer search and detail page experiences. You will drive appropriate technology choices for the business, lead the way for continuous innovation, and shape the future of e-commerce. This is an opportunity to make a significant impact on the future of the Amazon vision.


As a Tech Lead in Machine Learning at Amazon, you will contribute to the technical direction of our offerings and solutions, working with many different technologies across the performance advertising organization. You will design, code, troubleshoot, and support scalable machine-learning pipelines and online serving systems. You will work closely with applied scientists to optimize the performance of machine-learning models and infrastructure, and implement end-to-end solutions. What you create is also what you own.


We are open to hiring candidates to work out of one of the following locations:

Edinburgh, MLN, GBR

BASIC QUALIFICATIONS

- Experience as a mentor, tech lead or leading an engineering team
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience in professional, non-internship software development

PREFERRED QUALIFICATIONS

- Bachelor's degree in computer science or equivalent
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations