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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 Master's 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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