Tiktok-posted 25 days ago
Full-time • Entry Level
San Jose, CA
5,001-10,000 employees
Broadcasting and Content Providers

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 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 resumes.

  • 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.
  • Final year Ph.D or recent Ph.D graduates in Computer Science or related technical disciplines
  • Strong Computer Science fundamentals (algorithms, data structures, software design) and problem-solving skills.
  • Solid coding skills and a good understanding of algorithms, especially causal inference, uplift model, and deep learning.
  • Experience in managing projects.
  • Experience in Ads domain.
  • Experience with building large-scale ranking infrastructure.
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