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 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:
- Achieve extreme iteration and optimization of advertising models via adanvanced technologies like AIGC/LLMs/RL/DL to enhance TikTok’s overall revenue and system efficiency, plus improving customer experience.
- Optimize the delivery efficiency of automatic delivery products, aiming to increase the penetration rate and lift compared to manual delivery.
- Iterate bidding and budget algorithms to sort out the best matching traffic as aspect of advertisers.
- Develop ads delivery capability as a tool for doing business with joint effort of TikTok's global recommendation optimization.
- Establish a robust, flexible and fair framework for multiple teams to parallely iterate related models in the delivery funnel.