The targeting program within Amazon Advertising is responsible for helping advertisers advertisers optimize their targeting to reach relevant customers. We have an opening for a Principal Machine Learning Scientist who is passionate about applying advanced ML and statistical techniques to ensure that targeted ads exceed a high relevancy bar, both for customers and advertisers.

You will work in an agile and fast-paced team of scientists and software engineers at our development center in Edinburgh, Scotland and our head office in London. As a scientist on the team, you will be involved in every aspect of the process - from idea generation, business analysis and scientific research, through to development and deployment of advanced models - giving you a real sense of ownership. From day one, you will be working with experienced scientists, engineers, and designers who love what they do.

This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations. You will have experience with machine learning models and information retrieval systems at scale. Additionally, we are seeking someone with rigor in applied sciences and engineering, creativity, curiosity, and great judgment.

We place a high emphasis on team spirit and collaboration, while providing the required support needed for succeeding in the role. This role offers an excellent opportunity to grow your technical and non-technical skills and make a real difference to the Amazon Advertising business. If this sounds like you, come join the Audiences team at Amazon!

BASIC QUALIFICATIONS

* Ph.D. degree in Computer Science, Data Science, or related field
* Experience building large scale machine learning based products
* Experience leading and mentoring other machine learning scientists
* Demonstrated history of delivering large-scale, high-quality ML projects
* Demonstrated track record of applying ML techniques to deliver measurable business impact

PREFERRED QUALIFICATIONS

* Experience in advertising technologies, recommender systems, or search
* Experience operating in an ambiguous environment across many different teams
* Solid experience collaborating with engineering teams to adapt deep learning solutions to meet strict latency targets
* Demonstrated ability to shape product strategy with innovative research in deep learning