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Amazon Sr Applied Scientist Brand Safety 
United Kingdom, England, London 
132366091

16.06.2025
DESCRIPTION

We are looking for a dynamic, innovative, and accomplished Senior Applied Scientist to work on machine learning initiatives that power our brand safety solutions. The role requires developing and fine-tuning Large Language Models at scale, designing content filtering systems, implementing alignment techniques, and creating robust evaluation frameworks to ensure AI outputs meet strict quality standards. As a Senior Applied Scientist, you will own business problems of high ambiguity where you get to define the path forward for success of how we evolve our Brand Safety solutions. You will get an opportunity to act as a thought leader, work backwards from customer needs, dive deep into data to understand the issues, conceptualize and build algorithms, and collaborate with multiple cross-functional teams.Key job responsibilities
* Design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both analysis and business judgment.* Promote the culture of experimentation and applied science at Amazon.
* Demonstrated ability to meet deadlines while managing multiple projects.
* Excellent communication and presentation skills working with multiple peer groups and different levels of management

BASIC QUALIFICATIONS

- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience in building machine learning models for business application
- Experience in applied research
- PhD in ML and 5+ year of industry experience


PREFERRED QUALIFICATIONS

- Demonstrated expertise in scaling Large Language Models (LLMs) for production environments, including optimization techniques for inference and training