Machine Learning/Research Engineer Graduate (Ads Core Global) - 2026 Start (BS/MS)
San Jose, California, United States
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We are Ads Core ML Team from TikTok Global Monetization Technology. Our core mission is to generate revenue and optimize the user experience on the world's leading short-form video platform.
Within the global monetization and advertising landscape, we are responsible for accelerating TikTok revenue growth through advanced machine learning technology and delivering optimal user experience solutions.
You will be part of a team that's optimizing ads format and ranking strategies, and you will be responsible for bringing a better return on investment for advertisers.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities:
1. Research and develop a cutting-edge global advertising delivery system using advanced technologies, including ML/DL, RL, LLM, and scaling laws in ad recommendation.
2. Optimize efficiency across the entire advertising funnel, focusing on Recall & Rough-sort, Fine-sort (CTR/CVR), format/creative personalization, and system resource allocation.
3. Design and establish system frameworks and standards to continuously enhance modeling efficiency.
4. Build and manage the delivery pipeline, encompassing modeling, bidding, traffic strategy, and optimizing organic video recommendation systems to meet diverse vertical business needs.
5. Drive the influence of user experience and revenue targets, establishing the team as a core pillar within the organization.
Within the global monetization and advertising landscape, we are responsible for accelerating TikTok revenue growth through advanced machine learning technology and delivering optimal user experience solutions.
You will be part of a team that's optimizing ads format and ranking strategies, and you will be responsible for bringing a better return on investment for advertisers.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities:
1. Research and develop a cutting-edge global advertising delivery system using advanced technologies, including ML/DL, RL, LLM, and scaling laws in ad recommendation.
2. Optimize efficiency across the entire advertising funnel, focusing on Recall & Rough-sort, Fine-sort (CTR/CVR), format/creative personalization, and system resource allocation.
3. Design and establish system frameworks and standards to continuously enhance modeling efficiency.
4. Build and manage the delivery pipeline, encompassing modeling, bidding, traffic strategy, and optimizing organic video recommendation systems to meet diverse vertical business needs.
5. Drive the influence of user experience and revenue targets, establishing the team as a core pillar within the organization.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Engineering Jobs
Machine Learning Jobs
Research Jobs
Tags: Core ML LLMs Machine Learning Research
Perks/benefits: Career development
Region:
North America
Country:
United States
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