Multimodal LLM ML Engineer - Vision & NLP Innovator

TikTok; Singapore; On-site; SGD 110,000 - 180,000; Full time

Job summary

TikTok seeks a CV/NLP/Multimodal LLM ML Engineer Graduate for a 2027 start (PhD). Location: Singapore. Responsibilities include developing vision and multimodal models to detect policy violations, advancing large multimodal models, and applying LLMs to business use cases.

Strong PhD background, DL framework proficiency, and collaborative skills are required. The role emphasizes research-driven development, model optimization, and cross-team collaboration to advance trust and safety platforms at

Qualifications

• PhD in Computer Science, Computer Engineering or related field completed or near completion.
• Proficiency with at least one DL framework (e.g., PyTorch, TensorFlow).
• Strong analytical, problem-solving, and collaboration skills; published work is a plus.

Responsibilities

• Develop computer vision or multimodal models to recognize TikTok content violations.
• Explore cutting-edge multimodal large models and related architectures.
• Investigate application of LLMs for business scenarios such as pre-training and few-shot learning.
• Continuously optimize training frameworks for large-model efficiency.

Skills

Python

Analytical thinking

Communication

Education

PhD in Computer Science or Computer Engineering

Tools

PyTorch

TensorFlow

CLIP / Multimodal models

Job description

TikTok seeks a CV/NLP/Multimodal LLM ML Engineer Graduate for a 2027 start (PhD). Location: Singapore. Responsibilities include developing vision and multimodal models to detect policy violations, advancing large multimodal models, and applying LLMs to business use cases.

Strong PhD background, DL framework proficiency, and collaborative skills are required. The role emphasizes research-driven development, model optimization, and cross-team collaboration to advance trust and safety platforms at