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

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

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 Senior 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, refine and optimize ML/DL models to improve CTR, CVR, and ROI predictions, ensuring scalability and robustness in large-scale global deployments.
- Establish scalable system frameworks and performance benchmarks that continuously improve delivery efficiency while supporting the unique needs of various vertical businesses.
- Understand ads platform objectives and take full advantage of modern machine learning to improve ads quality, relevancy, and select the best ads formats delivered to end-users.
- Maintain system stability, data privacy, and compliance with global regulations, ensuring a secure and trustworthy advertising ecosystem.
- Share knowledge and best practices within the team, mentor junior engineers, and contribute to the company’s long-term technological strategy.Minimum Qualifications:
- BS/MS degree in Computer Science, Computer Engineering, or a related technical discipline with sophisticated industry experience and model optimization experience.
- Solid programming skills, proficient in C/C++ and Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment.
- Hands-on experience in one or more of the following areas: machine learning, deep learning, statistical models and applied mathematical methods.
- Good analytical and out-of-box thinking capabilities. Have strong transferrable skillsets/knowledge for recommendation, search, ranking, personalization or other relevant monetization scenarios.
- Solid theoretical grounding in deep learning concepts and techniques.
- Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/Pytorch/MXNet), familiar with its architecture and implementation mechanism.
- Sound collaboration skills, with the ability to work effectively with cross-functional teams across different locations and time zones for global business needs.

Preferred Qualifications:
- Strong business acuman and technical decision-marking capabilities 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 optimization and task scheduling with large scale distributed software (such as Spark and TensorFlow).


TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2 .