Generative AI Privacy Research Scientist Graduate (Privacy Innovation Lab) - 2026 start (PhD)

Responsibilities

At TikTok, we treat privacy as our top priority in our product design and implementation. Privacy is not just about regulation compliance, but also about a more trusted way to enable technology innovation by respecting users' privacy choices!

Privacy Innovation (PI) Lab is established to explore the next frontier of privacy technology and theory in the digitalized world. We provide key insights and technical solutions on privacy-related innovation for all TikTok's products. Furthermore, we also collaborate with worldwide technical and academic communities to build an open ecosystem to promote a privacy-friendly digital experience.

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.

Responsibilities
- Design and execute research on the critical industrial challenges of GenAI innovation.
- Work with product teams to understand key privacy requirements from the TikTok product family and provide technical consulting on privacy-related features.
- Work with engineering teams to apply technical achievements from our research to product prototyping.
- Advocate research findings to diverse audiences through written reports and verbal presentations.
- Represent PI Lab and our work in the external technical and academic community.

Qualifications

Minimum Qualifications:
- Final year Ph.D or recent Ph.D graduates in Computer Science, a related technical field, or equivalent practical experience.
- Research experience in GenAI with a strong publication record or contributions to open-source projects.

Preferred Qualifications:
2 years of research or production experience in the following areas:
- Pretraining, fine-tuning, and post-training
- Responsible AI, privacy-preserving LLMs, and LLM alignment
- Reinforcement learning for tuning language models
- Efficient training and inference techniques

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com