Posted:1 day ago|
Platform:
On-site
Full Time
Media.net is a leading, global ad tech company that focuses on creating the most transparent and efficient path for advertiser budgets to become publisher revenue. Our proprietary contextual technology is at the forefront of enhancing Programmatic buying, the latest industry-standard in ad buying for digital platforms.
The Media.net platform powers major global publishers and ad-tech businesses at scale across ad formats like display, video, mobile, native, as well as search. Media.net’s U.S. HQ is based in New York, and the Global HQ is in Dubai. With office locations and consultant partners across the world, Media.net takes pride in the value-add it offers to its 50+ demand and 21K+ publisher partners, in terms of both products and services.
• Anti Spam Engineering team works on areas like fraud detection, analytics, ads quality etc and works with world class R&D teams to develop platforms that help deliver quality ads and various performance metrics.
• Everyday our systems gather terabytes of data on each and every action (impressions, clicks, conversions etc) related to the ad units
• Derive meaningful insights for various stakeholders via dashboards that help them to make decisions. For example: Publisher Performance Dashboard
• Build their own data pipelines using Spark and Machine Learning Algorithms
• Ensure every ad unit adheres to the specs defined by publisher/advertiser or the International Advertising Bureau (IAB)
• The platform gives a real-time spam alert to avoid bidding for an Ad slot
• Tech stack – Python/Golang/Java, Javascript, Node.js, MongoDB, Redis, Spark, Machine Learning
• 3 - 5 years of experience in building or managing large scale distributed systems
• BS/MS degree in Computer Science or other relevant majors
• Experience with or interest in Gen AI technologies and frameworks
• A track record of working on scalable applications, preferably at a major internet property or well-known startup
• Good grasp on programming fundamentals including OOP, Design Principles and Data Structures
• Excellent analytical, logical, and problem-solving skills
• Solid knowledge of Java/Python/Golang, Redis, Node.js, NoSql Databases, Kafka/Kinesis/Spark etc
• Can exhibit passion and enthusiasm for remarkable technology (Knowledge and contribution to open-source projects, Active Blog, etc. is a plus)
• Ability to learn emerging technical/business standards and apply/coach development team in proper adoption
• Deep understanding of development processes and has personally contributed to critical product cycles
• Communicate effectively & cross-functionally with other teams
Media.net
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