the About Knorex
Founded in 2009, Knorex (https://knorex.com) is a technology company that provides programmatic advertising products and solutions to marketers to connect in real-time to their desired audience worldwide. Through its flagship universal marketing platform, Knorex XPO unifies the connectivity to each of the major marketing channels including social media, search, connected TVs/OTTs, video, audio, display/native, and email, in one place, while simplifying execution and optimization across these channels through AI automation. Knorex operates across the US and APAC.
Job Description
Knorex develops a cloud-based, highly scalable, all-in-one advertising and marketing platform called Knorex XPO (https://xpo.knorex.com/) where Advertisers, Agencies and Publishers can easily create, optimize amp; publish Dynamic Ads worldwide with speed and ease. As part of the platform offering, anyone can traffic their Dynamic Ads programmatically via automated buying through our in-house real-time bidder and optimizer.
Real-time bidding (RTB) is a means by which advertising inventory is bought and sold on a per-impression basis, via programmatic instantaneous auction, similar to financial markets. The entire process generally takes place in less than 100 ms. Owing to the large and real-time stream of data, coming up with efficient and pragmatic solutions and algorithms to challenging problems will become imperative. At Knorex Ramp;D, we apply large-scale machine learning (ML) models to optimize the return-on-investment of our advertisers’ budget. Tasks we work on include user interaction prediction, bidding optimization, contextual targeting, etc.
We are seeking MLOps Engineers with the zest and passion to work on our in-house machine learning platform, which covers the whole life-cycle of machine learning, from data collection and augmentation pipeline, to model training and serving, to monitoring and analysis. You will be joining our Ramp;D team working closely with Data Scientists, Research Scientists, and Software Engineers to build a highly scalable system that can handle billions of requests per day, all delivered in milliseconds.
In this role, you will work on large-scale and low-latency ML systems. You need to acquire a deep technical understanding of the platform, work with our cross-country team located regionally to learn about the business and technical analytics requirements, and translate them into production system.
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