Applied Scientist, Ads Traffic Quality
3 weeks ago
DESCRIPTIONAdvertising 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 One of the 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 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 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 are looking for talented applied scientists who enjoy working on creative machine learning algorithms and thrive in a fast-paced fun environment An Applied Scientist is responsible for solving inherently hard problems in advertising fraud detection using deep learning self-supervised techniques representation learning and advanced clustering An ideal candidate should have strong depth and breadth knowledge in machine learning data mining and statistics Traffic quality systems process billions of ad-impressions and clicks per day by leveraging leading open source technologies like Hadoop Spark Redis and Amazon s cloud services like EC2 S3 EMR DynamoDB and RedShift The candidate should have reasonable programming and design skills to manipulate unstructured and big data and build prototypes that work on massive datasets The candidate should be able to apply business knowledge to perform broad data analysis as a precursor to modeling and to provide valuable business intelligence BASIC QUALIFICATIONS- 3 years of building models for business application experience - PhD or Master s degree and 4 years of CS CE ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java C Python or related language - Experience in any of the following areas algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computingPREFERRED QUALIFICATIONS- Experience using Unix Linux - Experience in professional software developmentOur inclusive culture empowers Amazonians to deliver the best results for our customers If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information If the country region you re applying in isn t listed please contact your Recruiting Partner
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