Graduate Research Scientist - Monetization ML

TikTok; San Jose, Northern (CA, KY); Hybrid; USD 162,000 - 317,000; Full time

Job summary

TikTok in San Jose is seeking a Research Scientist Graduate for a 2027 start date to help advance monetization technology and business integrity. The role emphasizes building scalable moderation systems with interpretable reasoning and automated decisions to balance user experience and advertiser value.

You will collaborate with global teams, apply ML/NLP techniques, and pursue bold ideas that could influence production systems. A PhD and DL framework experience are preferred.

Qualifications

• PhD in CS or related field completed or expecting to graduate within 12 months.
• Research experience in Ads, Search, Recommender Systems, NLP, CV, Multimodal, or Agent technologies.
• Strong understanding of large language model methodology and evaluation.
• Ability to formulate research problems, design experiments, and derive conclusions from ambiguous results.
• Proficient in Python and at least one DL framework (PyTorch or TensorFlow).
• Collaborative mindset with interest in translating research to products.

Responsibilities

• Build a leading moderation system with end-to-end capabilities and interpretable reasoning.
• Develop fully automated moderation that surpasses human benchmarks and supports monetization.
• Collaborate with global teams to align research with product and policy goals.

Skills

Python

Deep Learning

PyTorch

TensorFlow

Research Experience

NLP

Education

PhD in Computer Science or related field

Tools

Git

Docker

Job description

TikTok in San Jose is seeking a Research Scientist Graduate for a 2027 start date to help advance monetization technology and business integrity. The role emphasizes building scalable moderation systems with interpretable reasoning and automated decisions to balance user experience and advertiser value.

You will collaborate with global teams, apply ML/NLP techniques, and pursue bold ideas that could influence production systems. A PhD and DL framework experience are preferred.