Senior Machine Learning Scientist, Conversion Modeling
HybridAustin, Texas, United States
Job Summary
Build generative models to create image and video ads optimized for advertising performance, applying state-of-the-art deep learning techniques to solve complex conversion modeling challenges. Develop novel methodologies for attribution, dynamic creative generation, forecasting, and yield optimization within the Advertising Performance group. Stay at the forefront of advancements in machine learning and reinforcement learning to power real-time multi-objective optimization at large scale. This role requires a strong technical leader with a PhD in a quantitative discipline and 8+ years of applied research experience, working within Roku's hybrid model where teams collaborate in-office Monday through Thursday.
Required Qualifications
- PhD in a quantitative discipline such as CS, Statistics, Applied Math or a related field
- 8+ years of experience in applied research using statistical and deep learning techniques
- Published paper(s) on deep learning models for Advertising or related areas
- Excellent communication and collaboration skills
Desired Qualifications
- Experience in the Advertising domain
- Contributions to open-source ML projects
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