Applied Scientist, AI Brand Safety & Content Classification

Amazon Inc.; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Amazon Development Centre (London) Limited is seeking an Applied Scientist to advance AI-powered brand safety and content classification across web, mobile, and large-scale ad inventory. You will own science strategy, build low-latency LLM systems, and push the boundaries of multimodal content understanding.

You will tackle tasks from real-time risk assessment to production deployment, publishing results, and collaborating with Amazon production teams. A unique opportunity at internet scale.

Qualifications

• PhD or MS in CS/CE/ML or related field.
• Patents or publications in top-tier venues are preferred.
• Experience programming in Java, C++, Python.
• Experience with algorithms, data structures, parsing, optimization, data mining, parallel and distributed computing, HPC.
• Experience building ML models for business applications.

Responsibilities

• Own the science strategy for AI-powered brand safety classification.
• Build LLM-powered content classification systems with billions of decisions daily at millisecond latency.
• Develop multimodal evaluation pipelines across text, images, audio, and video in real time.
• Design adaptive ML systems resilient to adversarial evolution and contextual brand risk.
• Define measurement frameworks and drive continuous improvement.
• Translate research into production, moving from prototype to deployed model.
• Publish at peer-reviewed venues; contribute to adversarial ML, NLP, and content safety.
• Collaborate with software engineers to scale experiments into production.

Skills

Java

C++

Python

Algorithms

Data mining

Parallel computing

High-performance computing

ML models

Education

PhD or MS in CS/CE/ML or related field

Tools

Unix/Linux

Job description

Amazon Development Centre (London) Limited is seeking an Applied Scientist to advance AI-powered brand safety and content classification across web, mobile, and large-scale ad inventory. You will own science strategy, build low-latency LLM systems, and push the boundaries of multimodal content understanding.

You will tackle tasks from real-time risk assessment to production deployment, publishing results, and collaborating with Amazon production teams. A unique opportunity at internet scale.