Multimodal Trust & Safety AI Scientist

TikTok Inc.; San Jose (CA); On-site; USD 218,000 - 480,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Parental leave

Disability coverage

Life insurance

Wellbeing benefits

Paid holidays and PTO

Job summary

TikTok Inc. in the United States seeks a PhD-qualified researcher to advance content moderation through multimodal ML models and agentic decision systems. You will contribute to robust safety foundations and scalable moderation tools across languages and data types.

The role focuses on cutting-edge LLM research, MoE architectures, and reinforcement learning within a world-leading platform, offering substantial impact and growth opportunities.

Qualifications

• PhD degree in Computer Science, Data Science, AI or related field or candidate in final year.
• Strong understanding of cutting-edge LLM research and practical implementation.
• Proficiency in Python, Rust or C++ with deep learning frameworks.
• Familiarity with PEFT, RL, MoE, CoT or Langchain is a plus.

Responsibilities

• Join TikTok's Trust and Safety team to build ML models and systems for content moderation.
• Research multimodal moderation foundations and agentic moderation systems.
• Advance language and multimodal handling across many languages and data types.

Skills

Python

Rust

C++

Distributed computing

Deep learning

Education

PhD in CS/DS/AI or related

Tools

PyTorch

DeepSpeed

Megatron

VLLM

Job description

TikTok Inc. in the United States seeks a PhD-qualified researcher to advance content moderation through multimodal ML models and agentic decision systems. You will contribute to robust safety foundations and scalable moderation tools across languages and data types.

The role focuses on cutting-edge LLM research, MoE architectures, and reinforcement learning within a world-leading platform, offering substantial impact and growth opportunities.