Senior Machine Learning Engineer, LLM & Agentic AI - TikTok - Content Ecology Local Services - TikTok Content Ecology

What you'll do

• Develop core algorithms for Local Services using LLMs/MLLMs, Agentic AI, and related methods.
• Build semantic representations and structured models for content, products, and user intent, including knowledge graphs and transaction optimization.
• Translate research advances into scalable production solutions and improve transaction conversion.

What they ask for

• Bachelor’s degree or above in Computer Science, Artificial Intelligence, Software Engineering, or a related technical field.
• Strong foundations in machine learning and deep learning, including Transformer architectures, LLMs, multimodal large language models, and representation learning.
• Experience in one or more relevant areas, such as NLP, computer vision, AI agents, knowledge graphs, retrieval and recommendation, conversion modeling, causal uplift modeling, or decision optimization.
• Hands-on experience with Python, PyTorch, distributed model training, and large-scale data processing, plus production deployment capabilities.

Nice to have

• Experience building large-scale machine-learning systems for transaction-oriented products.
• Experience with multilingual, multimodal, or highly dynamic data in large-scale production; leading-conference publications and technical leadership are also preferred.

Tools

Python, PyTorch, Transformer, LLMs, MLLMs, NLP, Computer Vision, Agentic AI

AI focus

Research and production development of LLM/MLLM, Agentic AI, multimodal understanding, recommendation, and transaction-optimization algorithms for Local Services.