腾讯游戏-大模型数据与评测高级工程师-智能NPC
Core
Building and evaluating multimodal data pipelines and automated assessment systems for intelligent NPCs in games, optimizing data strategies for LLM/VLM training.
Role type
Senior IC machine-learning engineer (NPC data & evaluation)
Builds
Multimodal data pipelines for NPC dialogue, behavior, and environment; automated quality assurance and scoring systems for NPC capabilities.
Domain
Gaming + Large Language Models (LLM/VLM)
Deliverable
production ML models
Required skills
LLM/VLM training paradigms (SFT/RLHF/DPO), multimodal data pipeline construction, automated evaluation metric design, statistical significance analysis, Python, PyTorch, data engineering tools (Airflow, Spark, SQL), game design logic understanding.
Preferred skills
Experience with complex data systems, game industry background, familiarity with mainstream game genres.
Responsibilities
Designing and building data pipelines for NPC multimodal data (dialogue, behavior, environment, player feedback); establishing automated quality inspection systems for persona consistency and semantic coherence; designing evaluation metrics and automated scoring workflows for NPC quality and player experience; optimizing data strategies to drive continuous NPC capability iteration.
Seniority
Senior, hands-on IC