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Software Engineer, Traffic Quality Forensics | Amazon | Bengaluru | 2021

Amazon

Category : IT Jobs
Education : MSc , ME/M.TECH
Types : Full-Time
Experience : 2 Yrs Above
Salary ₹Not Disclosed
Post Date: 16-Dec-2021
Start Date Apply: 16-Dec-2021
Job Description :

Vacancies & Eligibility Criteria:

Post Age Qualification Pay
Software Engineer, Traffic Quality Forensics
N/AMasters degree in computer science or related technical discipline
as per norms
Job summary:

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 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 scale, and leverage nuanced features about the 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 typically process ad impressions and clicks in orders of billions per day. To handle data at this scale, we use cutting-edge open sources 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 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.

Apply Mode:
Online
How To Apply:
Interested candidates with qualifications may apply online for concerned posts as per the given online application form.

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