Amazon Development Centre (London) Limited
Machine Learning Science, Applied Science, Advertising
AppliedScientist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied Scientist at Amazon Development Centre (London) Limited. Skills: Machine learning, Deep learning, Advertising systems. Design deep learning models. Investigate new ML techniques”
What You'll Achieve.
Deliver right messages to customers; Drive better advertising campaign outcomes; Affect multi-billion dollar businesses; Deliver significant breakthroughs
Industry & Context.
Quantitative analysis; Business judgement
What They're Looking For.
Must Have
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, Deep learning training and optimization, Model pruning
Nice to Have
PhD, Experience in retrieval and ranking systems, Experience as applied to advertising or recommender systems
What You'll Do.
Design deep learning models
Investigate new ML techniques
Improve model performance
Improve model generalisation
Improve model scalability
Introduce new features
Enhance models architecture
Work with large datasets
Work with high throughput production systems
Rapidly prototype alternatives
Test implementation alternatives
Use quantitative analysis
Use business judgement
Understand advertiser objectives
Turn objectives into products
Turn objectives into technical capabilities
Understand latest literature
Guide strategic investment
How You'll Work.
Team & Collaboration
Partner with product teams; Partner with engineering teams; Align on work; Adjust priorities
Full Job Description
Orchestrating the selection of one out of tens of millions of ads, honoring advertiser targeting intent for hundreds of thousands of advertisers while ensuring great shopper experience for billions of shoppers millions of times per second on a latency of tens of milliseconds is not a trivial task. The demand retrieval team within the Amazon DSP organisation deals with this challenge, developing and operating machine learning models that match ads opportunities with the most relevant ads to deliver the right messages to the right customers at the right time. We are looking for an Applied Scientist to optimize ad matching for Amazon’s programmatic advertisement products. In this role you will lead the design and implementation of solutions for performance sourcing, using behavioural information on customers’ interactions with Amazon and other owned and operated businesses as well as contextual information about the bid request to predict their propensity to convert, in turn driving better advertising campaign outcomes. 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. Successful candidates will have strong technical ability, excellent teamwork, communication skills, and a motivation to achieve business results in a fast-paced environment. 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
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