Senior Multimodal ML Engineer - Short-Video & Recs

TikTok; San Jose (CA); Hybrid; USD 162,000 - 388,000; Full time

Job summary

TikTok is seeking a Senior Machine Learning Engineer to advance multimodal content understanding and LLM applications for short-video recommendations in San Jose.

You will lead multimodal algorithm development, conduct cutting-edge research, and drive production deployment ensuring model stability and efficiency. The role requires collaboration across teams to deliver measurable business impact and iterative improvements.

Qualifications

• Proven experience in multimodal content understanding and LLMs.
• Strong foundation in PyTorch or TensorFlow.
• Proactive, ownership-driven, good cross-team collaboration.

Responsibilities

• Lead multimodal algorithm development for TikTok’s short-video business.
• Conduct cutting-edge research in multimodal and MLLM technologies.
• Drive engineering deployment ensuring model stability, scalability, and efficiency in production environments.
• Focus on AI platform design (few-shot/zero-shot, auto prompting, RL) and integration with recommender systems.

Skills

Multimodal content understanding

Large language models (LLMs)

Excellent communication

Tools

PyTorch

TensorFlow

Job description

TikTok is seeking a Senior Machine Learning Engineer to advance multimodal content understanding and LLM applications for short-video recommendations in San Jose.

You will lead multimodal algorithm development, conduct cutting-edge research, and drive production deployment ensuring model stability and efficiency. The role requires collaboration across teams to deliver measurable business impact and iterative improvements.