Related skills
forecasting deep learning experimentation generative models reinforcement learning📋 Description
- Applying research to build SOTA deep learning discriminative models.
- Building generative models for image and video ads to optimize performance.
- Develop novel methods for conversion modeling, attribution, calibration, and optimization.
- Forecasting with timeseries modeling; yield and margin optimization.
- Experimentation for A/B and multivariate testing.
🎯 Requirements
- PhD in CS, Statistics, Applied Math or related field.
- 8+ years of applied research with statistical methods and deep learning.
- Published papers on deep learning models for Advertising or related areas.
- Excellent communication and collaboration skills.
- Experience in advertising domain is preferred.
- Contributions to open-source ML projects.
🎁 Benefits
- Health/dental/vision coverage; equity awards; life and disability insurance.
- Parental leave; wellness benefits; paid time off.
- 401(k)/pension retirement options.
- Global mental health and financial wellness resources.
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