Sr. Applied Scientist, Brand Safety

Amazon Development Centre (London) Limited; London; On-site; GBP 85,000 - 120,000; Full time

Job summary

A multinational technology company in London seeks a Senior Applied Scientist to work on innovative machine learning initiatives for brand safety. In this role, you will design and implement algorithms, collaborate with cross-functional teams, and enhance AI solutions. Candidates should have a PhD in Machine Learning and extensive experience in neural methods and research.

Qualifications

• 5+ years of industry experience in machine learning.
• Experience with neural deep learning methods.
• Proven ability in applied research and building ML models.

Responsibilities

• Design, prototype, and test hypotheses in a high-ambiguity environment.
• Collaborate with software engineering to integrate experiments into production.
• Promote a culture of applied science and experimentation.

Skills

Programming in Java

Programming in C++

Programming in Python

Neural deep learning methods

Building machine learning models

Applied research

Education

PhD in Machine Learning

Job description

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Sr. Applied Scientist, Brand Safety, London

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Client:

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

79bd1a199d35

Job Views:

56

Posted:

12.08.2025

Expiry Date:

26.09.2025

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Job Description:

Amazon Advertising is looking for a Senior Applied Scientist to join its brand new initiative that powers Amazon’s Brand Safety product.

Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies.

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.
* Collaborate with software engineering teams to integrate successful experiments into large-scale, highly complex Amazon production systems.
* 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
* Influence and continuously improve a sustainable team culture that exemplifies Amazon’s leadership principles.

About the team
The Supply Quality organization has the charter to solve optimization problems for ad-programs in Amazon and ensure high-quality ad-impressions. We develop advanced algorithms and infrastructure systems to optimize performance for our advertisers and publishers. We are focused on solving a wide variety of problems in computational advertising like Contextual data processing and classification, traffic quality prediction (robot and fraud detection), Security forensics and research, Viewability prediction, Brand Safety and experimentation. Our team includes experts in the areas of distributed computing, machine learning, statistics, optimization, text mining, information theory and big data systems.

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