Building Data Scientist

4 weeks ago

London, Greater London, United Kingdom Amazon Full time
Job Title: Building Scientist

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 we are breaking fresh ground to create world-class products.

The ATT team, based in Bangalore, is responsible for ensuring that ads are relevant and of good quality, leading to higher conversion for the sellers and providing a great experience for the customers. We deal with one of the world's largest product catalogs, handle billions of requests a day, 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 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 moderation of millions of ads submitted each day.

Key Responsibilities:
  • Design and develop ML models to address content understanding problems in Ads
  • Collaborate with engineers and other scientists to build, train, and deploy these models
  • Develop production-level code that enables moderation of millions of ads submitted each day
Requirements:
  • 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 with popular deep learning frameworks such as MxNet and TensorFlow
  • Experience building machine learning models or developing algorithms for business application

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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