Machine Learning Engineer - TikTok Short Video Content Understanding/Multimodal Recommendation

What you'll do

• Lead multimodal algorithm development and apply it to recommendation and other business scenarios.
• Research multimodal and MLLM technologies and design algorithms for business needs and technical advances.
• Drive production deployment, ensuring models are stable, scalable, and efficient.

What they ask for

• Proven experience in multimodal content understanding, expertise in LLMs, and familiarity with current developments in the field.
• Strong technical foundation in at least one major deep learning framework, such as PyTorch or TensorFlow.
• Proactive mindset, ownership, excellent communication, and ability to collaborate across teams.

Nice to have

• Hands-on experience deploying content-understanding solutions in search, advertising, recommendation, or related domains.

Tools

LLMs, MLLM, PyTorch, TensorFlow, RL

AI focus

Develop and research multimodal, LLM, and MLLM algorithms for short-video content understanding and recommendation, including generative recommendation, few-shot/zero-shot learning, AI-labeling, auto prompting, active learning, continued pretraining, and RL.