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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