腾讯游戏-基础模型游戏趋势研究员-（PhD Program）
Core
Research trends in multimodal large models, AIGC, and Agents across game art, programming, animation, and gameplay; evaluate AI efficiency gains and risks; analyze R&D cost shifts; produce trend reports to support long-term strategy.
Role type
PhD-level research scientist (AI/Game Industry Strategy)
Builds
Quantitative cost models, trend reports, technology selection frameworks (self-developed/bought/partnered), and industry open standards.
Domain
Video game industry + Artificial Intelligence / Large Language Models
Deliverable
research
Required skills
Deep learning and foundation model research, Transformer/MoE/multimodal fusion/agent architecture, global game ecosystem knowledge, data analytics (Famitsu/SteamDB/Sensor Tower), Python/PyTorch, distributed training, academic writing.
Preferred skills
Japanese language proficiency, player immersion in specific genres (RPG/FPS/Roguelike/Gacha/Open World).
Technologies
PyTorch, Python, Transformer, MoE, Multimodal models, Agent architectures
Responsibilities
Research multimodal large models and AIGC trends; Evaluate AI impact on R&D efficiency and risks; Analyze AI-driven R&D cost migration patterns; Produce trend reports and technology selection strategies; Collaborate on business unit implementation and academic publication.
Seniority
PhD Program, Research Scientist