Applied Scientist, Demand Tech
Applied Scientist, Demand Tech
Posted on :
18-07-2025
Employer Active
1 Vacancy
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Job Description
Were looking for an Applied Scientist to optimize selection and pre-ranking for Amazons programmatic advertising product. In this role you will work at the forefront of high scale low latency customer-facing advertising systems mixing machine learning and large scale systems and services. Your work will affect multi-billion dollar businesses and you will be responsible for designing testing and delivering significant breakthroughs for Amazons business.
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.
* Be immersed in Amazons advertisers and their objectives and think long-term about how to turn those objectives into products and technical capabilities.
* 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.
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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.
* Be immersed in Amazons advertisers and their objectives and think long-term about how to turn those objectives into products and technical capabilities.
* 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.
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Key Skills
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