Job summary

Advertising at Amazon is a rapidly growing 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. One of the key focus areas is Traffic Quality where we endeavor 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 and optimization algorithms that operate at terabyte 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 that address emergent attack vectors in a structured and scalable fashion. Twitch is a strategic video supply source for Amazon Advertising and we need to innovate invalid traffic algorithms to counter the specific risks for Twitch, saving advertisers 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 cutting-edge 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 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. 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 AI 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 you are passionate about building massively scalable solutions and distributed systems.

Amazon.com offers competitive salary, stock grants, health and other benefits.

BASIC QUALIFICATIONS

· Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
* You have strong communication and collaboration skills
* You have passion for building the best products and technologies
* You show strong ownership, bias for action and product sense.

PREFERRED QUALIFICATIONS

· Experience with big data, distributed algorithms and high-volume data processing
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· Masters degree in computer science or related technical discipline
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· Experience with implementing machine learning algorithms at scale
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· Experience in Computational Advertising