Machine Learning Engineer, Ads Core Global - Traffic & Strategy

Position: Machine Learning Engineer, TikTok Ads Core Global - Traffic & Strategy
Machine Learning Engineer, Tik Tok Ads Core Global - Traffic & Strategy

2 weeks ago Be among the first 25 applicants

Responsibilities

Tik Tok 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 Tik Tok’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 advanced technologies like AIGC/LLMs/RL/DL to enhance Tik Tok’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 Tik Tok's global recommendation optimization.

• Establish a robust, flexible and fair framework for multiple teams to parally iterate related models in the delivery funnel.

Qualifications

Minimum Qualifications:

• BS/MS degree in Computer Science, Computer Engineering, or a related technical discipline with industry experience or model optimization experience.

• Solid programming skills, proficient in C/C++ and Python. Good theoretical grounding in deep learning concepts and techniques. Familiar with Linux development environment.

• Good analytical and critical thinking capabilities. Have essential knowledge and skills in statistics.

• Familiar with architecture and implementation of at least one mainstream machine learning programming framework (Tensor Flow/Pytorch/MXNet).

• Good collaboration skills, with the ability to work effectively with cross‑functional teams across different locations and time zones for global business needs.

Preferred Qualifications:

• Participation in national math/coding competitions (ACM/Hacker Cup/Hash Code/USACO/IOI/CCPC etc.).

• Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems (familiar with one or more of these terms: CPC/CPM, CTR/CVR, Ranking /Targeting, Conversion/Budget, Campaign/Creative, Demand/Inventory, DSP/RTB).

• Experience in resource management and task scheduling with large scale distributed software (such as Spark and Tensor Flow).

About Tik Tok

Tik Tok is the leading destination for short‑form mobile video. At Tik Tok, our mission is to inspire creativity and bring joy. Tik Tok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of Tik Tok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy – a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team.…