Senior Machine Learning Scientist, Advertising at Roku
Ideal for a candidate with a PhD in a quantitative field (CS, Statistics, Applied Math) and at least 8 years of applied research experience in statistical and d
Work type: hybrid
Location: Austin, Texas
Type: Full-time
Ideal for a candidate with a PhD in a quantitative field (CS, Statistics, Applied Math) and at least 8 years of applied research experience in statistical and deep learning techniques, particularly with published work in deep learning for advertising.
**What makes it worth a look...**
This hybrid, full-time Senior Machine Learning Scientist role is at Roku in Austin, Texas. The company focuses on applying state-of-the-art research to advertising challenges, including conversion modeling, dynamic creative optimization, and experimentation.
**You might be a good fit if you...**
* Apply research and conduct your own to build SOTA Deep learning discriminative models.
* Build generative models for image and video ads aimed at optimizing performance.
* Have published paper(s) on deep learning models for Advertising or related areas.
* Possess deep experience in SOTA Deep Learning discriminative and generative models.
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