Amazon Applied Scientist Advertising 

United Kingdom, England, London 

540214646

Key job responsibilities
* Design and implement deep learning models to match the right customers with the right ads across different verticals, geographies, and ads formats.
* Investigate new ML techniques such as multi-task learning to ensure that models can operate for a variety of advertisers in multiple industries and with different volumes of conversion events.
* Improve the performance, generalisation and scalability of models by introducing new features and enhancing models’ architecture.
* Work side by side with our engineers to deliver code changes impacting our ads stack, working with very large datasets and high throughput production systems.
* Rapidly prototype and test many possible hypotheses/implementation alternatives in a high-ambiguity environment, making use of both quantitative analysis and business judgement.* Understand the latest literature on machine learning for recommender and advertising systems, contributing to guiding strategic investment for the organization.A day in the life
You will partner with our product and engineering teams, bringing your own ideas to the conversation and aligning on work, adjusting priorities based on business requirements and fast iteration on experiments. You will have a strong theoretical understanding of modern ML techniques and methodologies, and the software engineering and data processing skills to deploy these using the large-scale datasets we deal with in advertising.

- PhD, or a Master's degree and experience in CS, CE, ML or related field research
- Experience programming in Java, C++, Python or related language
- Experience in building machine learning models for business application
- Experience with neural deep learning methods and machine learning

- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
- Experience with large scale distributed systems such as Hadoop, Spark etc.