Senior Machine Learning Engineer, Ads Pangle - USDS
TikTokAbout the role
About the team
Pangle is the ad network of TikTok for Business, helping mobile developers accelerate growth, deliver engaging ad experiences, and maximize revenue by accessing TikTok's global advertising demand. Operating in more than 36 countries and regions, Pangle has built a strong reputation for driving measurable results for app partners worldwide.
As Pangle expands into the U.S. market, we're building our advertising platform from the ground up — tackling exciting new challenges in large-scale systems, optimization, and machine learning. Join us to shape the future of mobile monetization and grow your career in a fast-moving, global team.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
Responsibilities:
- Develop and optimize bidding algorithms and strategies across Pangle's ad delivery systems, including targeting, retrieval, ranking, and bidding models, with a focus on improving monetization efficiency and overall ad ROI.
- Improve the performance and efficiency of large-scale, online-learning–based deep models for real-time advertising applications.
- Apply advanced modeling techniques and strategic thinking to enhance attribution accuracy, delivery quality, and long-term ecosystem sustainability. Identify and drive innovative commercialization technologies and product solutions.
- Design, build, and iterate on core ad prediction models such as CTR (Click-Through Rate) and CVR (Conversion Rate) models.
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