Applied Scientist

Applied Scientist focuses on design and implement deep learning models to match the right customers with the right ads across different verticals, geographies, and ads formats.

What the role involves

• 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 conver.
• Improving 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.
• Test many possible hypotheses/implementation alternatives in a high-ambiguity environment, making use of both quantitative analysis and business judgement.
• Be immersed in Amazon's advertisers and their objectives, and think long-term about how to turn those objectives into products and technical capabilities.

Skills and requirements

• 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 in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning.

Additional role context

• Optimize ad matching for Amazon’s programmatic advertisement products.
• Your work will affect multi-billion dollar businesses, and you will be responsible for designing, testing and delivering significant breakthrough's for Amazon's business.