Key job responsibilities
This role is focused on shaping our approach to the solving the trifecta of advertising - serving the right ad to the right viewer at the right moment - delivering engaging ads for viewers, improved performance for advertisers, and maximizing the yield of our supply inventory.Responsibilities include:
* Partner deeply with Product and Engineering to develop AI-based solutions to generating contextual signals across both video (VOD and Live) and display ads.
* Drive end-to-end applied science projects that have a high degree of ambiguity, scale, complexity.
* Provide technical/science leadership related to computer vision, large language models and contextual targeting.
* Research new and innovative machine learning approaches.
* Partner with Applied Scientists across the broader org to make the most of prior art and contribute back to this community the innovation that you come up with.
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
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