Perform multimodal content understanding (text, image, video, reviews) for e-commerce products. Continuously optimize content moderation solutions for Product/Chat/ChatBot scenarios to enhance moderation quality and efficiency, building an industry-leading intelligent content moderation system.
Deeply understand e-commerce business logic. Proactively collaborate with product, operations, and other teams to implement actionable solutions and track their business impact.
Lead/participate in the end-to-end iteration of algorithm models, including but not limited to data construction, model training, instruction fine-tuning, preference alignment, etc., to support e-commerce product/Chat/ChatBot content moderation and content understanding.
Continuously explore cutting-edge technologies (e.g., multimodal large models, controllable content generation, reinforcement learning, Agent) to expand application scenarios and improve business outcomes.
Requirements
Bachelors degree or higher in Computer Science or related fields. Experience in e-commerce AI algorithms is preferred.
Strong business acumen, self-motivation, and problem-solving skills. Ability to design technical solutions based on business value and independently develop core modules.
Excellent programming skills. Solid foundation in machine learning theory. Proficient in multimodal large model technologies, PyTorch/TensorFlow, and large-scale data processing tools (Hive, Spark).
Familiarity with mainstream LLMs/VLLMs. Interest in RAG, RL, etc. Knowledge of large model training, quantization, and inference frameworks. Relevant experience is a plus.
Experience in e-commerce algorithm projects is preferred. Practical experience in product understanding/content moderation is highly valued.
Strong teamwork, communication skills, and continuous learning ability. Passionate about technology and proactive in solving challenges.
