Job Information
Amazon Principal Applied Scientist, ADSP: Contextual Targeting in London, United Kingdom
Description
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
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/content/en/how-we-hire/accommodations.
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