Graduate ML Engineer - Build Scalable Recommender Systems

Tik Tok is seeking a PhD‑level researcher/engineer to join the Global E‑Commerce Content Recommendation team in San Jose. You will build and rewrite an industrial recommender serving a billion‑scale user base across short-video, livestream, and product scenarios, delivering end-to-end retrieval, ranking, and blending with ultra-low latency.

The role emphasizes scaling models, generative retrieval, and injecting world knowledge, using CUDA/Triton kernels and distributed training.

Our team is growing, and we are hiring a Graduate ML Engineer
- Build Scalable Recommender Systems in San Jose, CA, United States.

This is an excellent opportunity to take on the Graduate ML Engineer
- Build Scalable Recommender Systems role at Tik Tok.

As a Graduate ML Engineer
- Build Scalable Recommender Systems, you will play an important part at Tik Tok in San Jose, CA, United States.