Software Engineer Graduate (Ads Infrastructure) - 2026 Start (BS/MS)
TikTok
Office
San Jose, California, United States
Full Time
About the Team
The ads system at TikTok operates on a massive scale and serves millions of advertisers, clients and influencers across the world. The quality of the ads system highly depends on the ability to handle massive data, and machine learning is widely used to improve the quality of our ads. The Ads machine learning data platform team is responsible for building highly efficient and stable infrastructure to collect and process data for the usage of machine learning training, serving, and privacy enforcement, including feature engineering, feature store, training data generation, etc.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with 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 resumes.
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
- Lead projects committed to building and operating scalable and reliable Ads ranking infrastructure systems.
- Provide technical leadership and guidance to team members and project peers.
- Communicate cross-functionally across various teams, organizations and internal and external stakeholders to drive engineering efforts.
- Lead the innovation efforts, and bring in new ideas and technologies.
The ads system at TikTok operates on a massive scale and serves millions of advertisers, clients and influencers across the world. The quality of the ads system highly depends on the ability to handle massive data, and machine learning is widely used to improve the quality of our ads. The Ads machine learning data platform team is responsible for building highly efficient and stable infrastructure to collect and process data for the usage of machine learning training, serving, and privacy enforcement, including feature engineering, feature store, training data generation, etc.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with 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 resumes.
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
- Lead projects committed to building and operating scalable and reliable Ads ranking infrastructure systems.
- Provide technical leadership and guidance to team members and project peers.
- Communicate cross-functionally across various teams, organizations and internal and external stakeholders to drive engineering efforts.
- Lead the innovation efforts, and bring in new ideas and technologies.
Software Engineer Graduate (Ads Infrastructure) - 2026 Start (BS/MS)
Office
San Jose, California, United States
Full Time
August 26, 2025