ML Engineer - Multimodal Content & Risk Intelligence

TikTok; San Jose (CA); On-site; USD 162,000 - 317,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) with match

Paid parental leave

Disability coverage

Life insurance

Wellbeing benefits

Paid holidays

Paid sick days

Paid personal time

Job summary

TikTok is seeking a Research Engineer for its Business Integrity team to advance next-generation content understanding for monetization. You will help build scalable ML models focused on ad content understanding and security, partnering with global teams to deliver reliable and high-performing platforms for users and advertisers.

The role emphasizes multimodal data, RL/Agent approaches, and interpretable CoT reasoning to support commercial decisions while reducing non-compliant content risks

Qualifications

• Bachelor’s degree or above in CS, AI, Mathematics, Statistics or related majors with 1+ year of algorithm R&D/project implementation experience in content understanding or AIGC.
• Solid ML/DL theoretical foundation with in-depth understanding of MLLM/LLM, CV, NLP, multimodal fusion and Agent technologies; strong problem-solving abilities.
• Proficient in PyTorch/TensorFlow with hands-on experience in large model training, fine-tuning and inference deployment; strong Python/C++ skills.
• Familiar with multimodal large models; experience in content understanding, ad analysis, or intelligent review is preferred.

Responsibilities

• Focus on ad content understanding and security, conduct algorithm R&D for large model implementation and apply AIGC technologies.
• Deepen multimodal understanding tech for text, audio, video, live streaming; optimize model decisions for high-accuracy risk judgment.
• Explore RL/Agent applications in multimodal review scenarios and deliver algorithm innovation tailored to business needs.
• Develop multimodal content understanding models to empower ad intent recognition and accurate risk judgment.

Skills

Algorithm R&D

ML/DL fundamentals

LLM/MLLM

Multimodal fusion

CV

NLP

Agent technologies

PyTorch

TensorFlow

Python

C++

Education

Bachelor’s degree or above in CS/AI/Math/Statistics or related majors

Tools

PyTorch

TensorFlow

Large model training

Fine-tuning

Inference deployment

Python

C++

Job description

TikTok is seeking a Research Engineer for its Business Integrity team to advance next-generation content understanding for monetization. You will help build scalable ML models focused on ad content understanding and security, partnering with global teams to deliver reliable and high-performing platforms for users and advertisers.

The role emphasizes multimodal data, RL/Agent approaches, and interpretable CoT reasoning to support commercial decisions while reducing non-compliant content risks