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. The Supply Quality team in Bangalore has the charter to build data-science focused products and platforms for indexing and modulating the quality of supply in Amazon Advertising. One of our key focus areas is Traffic Quality where we endeavour to identify non-human and invalid traffic within programmatic ad sources, and weed them out to ensure a high quality advertising marketplace. We do this by building machine learning, large language models, and optimization algorithms that operate at scale, and leverage nuanced features about user, context, and creative engagement to determine the validity of traffic. The challenge is to stay one step ahead by investing in deep analytics and developing new algorithms, including advanced LLM-based detection systems, that address emergent attack vectors in a structured and scalable fashion. We are committed to building a long-term traffic quality solution that encompasses all Amazon advertising channels and provides state-of-the-art traffic filtering that preserves advertiser trust and saves them hundreds of millions of dollars of wasted spend.
We typically process ad-impressions and clicks in the orders of billions per day. To handle data at this scale, we use open source technologies like Hadoop, Spark, Redis and Amazon's cloud services like EC2, S3, EMR, DynamoDB and RedShift. We build and deploy complex machine learning, LLM-powered systems, and advanced optimization algorithms that operate at scale. All of our systems tend to be loosely coupled, communicating using synchronous and asynchronous messaging, leading to a classic distributed processing architecture. We are building real-time platforms to detect robotic clicks by evaluating complex bot patterns on the traffic data, enhanced by LLM-based pattern recognition. We are also building a large-scale data mining platform to automatically detect anomalies in traffic patterns and identify complex feature combinations that explain the anomaly.
The Traffic Quality team is looking for talented Engineers who enjoy working on creative algorithms, building large-scale systems and who thrive in a fast paced fun environment. As an engineer you would design business critical systems, write high quality code and mentor other engineers. You should have owned, designed and delivered multiple products. You have deep knowledge of Java/C++, Object-oriented Design, Service Oriented Architecture, and experience with LLM integration. You are passionate about building massively scalable solutions and distributed systems.
Amazon.com offers competitive salary, stock grants, health and other benefits.- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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