Multimodal LLM Algorithm Engineer Graduate (Global E-Commerce, Knowledge Graph) - 2027 Start
Core
Build multimodal content understanding, product understanding, semantic matching, pricing intelligence, and intelligent Agent capabilities for global content-commerce scenarios.
Role type
Graduate Multimodal LLM Algorithm Engineer
Builds
Product catalog, identical product matching systems, pricing algorithms, multimodal semantic links, generative search/recommendation, and business-facing Agents
Domain
Global E-commerce, Knowledge Graph, Multimodal AI
Deliverable
production ML models
Required skills
NLP, Computer Vision, Generative Models (Diffusion, GANs, ControlNet), Multimodal Learning, Large Models, Agents, PyTorch, TensorFlow, Model Training, Model Tuning, Model Deployment
Preferred skills
LLM/VLM, Embedding/SID, RAG, Tool Calling, Agent Planning, Distributed Training, Inference Acceleration, Multimodal Retrieval, AIGC, Video LLMs, Multimodal Reasoning
Technologies
PyTorch, TensorFlow, TensorRT
Responsibilities
Build global product catalog and content understanding systems; Develop algorithms for identical product matching and cross-lingual aggregation; Build pricing algorithms for price comparison and anomaly detection; Construct multimodal semantic links across video and product data; Explore next-generation generative search and recommendation; Design generative algorithms for visual creatives and virtual try-on; Explore business-facing Agents leveraging RAG and reasoning; Own end-to-end algorithm workflow from data to deployment.
Seniority
Graduate (Entry Level)
