About this role
Toss is seeking an ML Engineer to join their Commerce Ads team in Seoul. This role focuses on optimizing product recommendations and ad placements within the Toss super app to enhance user experience and drive meaningful results for both sellers and the platform. You will design machine learning-based logic and ranking strategies that consider user interest and ad performance.
What we are looking for 6
- Design ML-based logic to calculate ad exposure value considering user response and seller performance
- Optimize ad cost and bidding logic using prediction models, product price, and target ROAS
- Design post-processing strategies for model outputs like calibration and uncertainty correction
- Improve ad exposure strategy within recommendation rankings to balance user experience and seller goals
- Quantitatively verify the impact of the ad system on revenue, ad spend, seller performance, and user behavior
- Design and improve pacing logic considering exposure opportunities and budget consumption speed