Applied Scientist II, Advertising Trust

Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate we are growing at an unprecedented rate with a seemingly endless range of new opportunities.

The ATT team based in Bangalore is responsible for ensuring that ads are relevant and are of good quality leading to higher conversion for the sellers and providing a great experience for the customers. We deal with one of the worlds largest product catalog handle billions of requests a day with plans to grow it by an order of magnitude and use automated systems to validate tens of millions of offers submitted by thousands of merchants in multiple countries and languages.

In this role you will build and develop ML models to address content understanding and labeling problems in Ads. These models will rely on a variety of visual and textual features requiring expertise in both domains. These models need to scale to multiple languages and countries. You will collaborate with engineers and other scientists to build train and deploy these models. As part of these activities you will develop production level code that enables labeling of advertising assets and moderation of millions of ads submitted each day.

- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
- Experience building machine learning models or developing algorithms for business application

- Knowledge of programming languages such as C/C Python Java or Perl
- Have publications at top-tier peer-reviewed conferences or journals

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