Senior Machine Learning Engineer, TikTok Ads Core Global - Traffic & Strategy
San Jose, California, United States
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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.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Engineering Jobs
Machine Learning Jobs
Tags: Core ML Machine Learning Privacy
Region:
North America
Country:
United States
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