Staff Machine Learning Engineer, TikTok Ads Core Global - Traffic & Strategy

TikTok Ads Core ML Team aims at creating automatic delivery products for the next generation and developing advertising as a global business, instead of just a monetization tool to consolidate the delivery funnel framework allowing multiple teams to iterate parallel.

Ads Core Traffic Strategy & User Experience team is essential to TikTok’s success, our work focuses are:
- Personalized Ads Experience: We optimize every stage of the ad delivery pipeline, from recall and ranking to final placement, by integrating user feedback to make ads more relevant and engaging.
- Cutting-Edge Multi-Scenario Integration: this includes building context models that analyze ads-related information and scene elements to improve accuracy, as well as developing list-wise models to optimize recommendation outcomes and ads ROIs.

We’re looking for innovative Staff Machine Learning Engineers to develop state-of-art ad technologies, including ranking, retrieval, targeting, bidding, auction, etc. You will be part of a team that's optimizing ads format and ranking strategies, and you will be responsible for bringing a better returns on investment for advertisers.

What will you do:
- Develop advanced ads delivery capabilities that leverage cutting-edge machine learning techniques, working closely with recommendation system teams to deliver personalized ads.
- Lead the rapid iteration and optimization of machine learning models to enhance TikTok’s overall revenue and system efficiency.
- Ensure that advertising models deliver high performance in terms of CTR, CVR, user engagement, and business ROIs.
- Continuously improve bidding and budget optimization algorithms to help advertisers find the best-matching traffic for their needs.
- Work closely with product managers, data scientists, software engineers, and business teams to align machine learning solutions with business goals.
- Ensure that ads delivery systems are tailored to the needs of different verticals and global markets customers, driving measurable business impacts.