Senior ML Engineer - Real-Time Ad Monetization

TikTok USDS Joint Venture; San Jose (CA); On-site; USD 137,000 - 360,000; Full time

Job summary

TikTok USDS Joint Venture LLC is expanding its Pangle ad platform in the U.S. and is seeking an experienced ML engineer to build and optimize large-scale models for bidding, targeting, ranking, and monetization across our global ad network.

The role focuses on real-time advertising, online-learning models, and advanced modeling for attribution and delivery integrity. Collaboration across teams is essential, with strong emphasis on ownership and impact.

Qualifications

• Bachelor's degree in computer science or related technical discipline.
• 3+ years building and training complex scalable ML systems.
• Strong CS fundamentals and problem-solving skills.
• Strong coding skills and understanding of ML algorithms, including deep learning and ranking models.
• Experience leading or driving ML projects.

Responsibilities

• Develop and optimize bidding algorithms and strategies across ad delivery systems to improve monetization efficiency and ROI.
• Improve performance of large-scale online-learning models for real-time advertising.
• Apply modeling techniques to enhance attribution accuracy and delivery quality; drive innovative commercialization technologies.
• Design, build, and iterate core ad prediction models such as CTR and CVR.

Skills

ML systems

Algorithms

Problem solving

Coding

Team leadership

Education

Bachelor's degree in computer science

Tools

TensorFlow

PyTorch

Job description

TikTok USDS Joint Venture LLC is expanding its Pangle ad platform in the U.S. and is seeking an experienced ML engineer to build and optimize large-scale models for bidding, targeting, ranking, and monetization across our global ad network.

The role focuses on real-time advertising, online-learning models, and advanced modeling for attribution and delivery integrity. Collaboration across teams is essential, with strong emphasis on ownership and impact.