Job Details

About the Company: A high-tech company specializing in artificial intelligence, this recruitment targets overseas high-level talent in areas such as Chief AI Scientist / Senior AI Researcher (Gaming).

Target Candidates: Overseas PhDs or senior algorithm experts in AI, large language models, multimodal algorithms, and machine learning engineering

Responsibilities

·       Academic leadership: Maintain deep insight into the global AI academic community, establish collaborations with research institutions, and shape the company's influence in AI by publishing top-tier papers, filing patents, and participating in international conferences (e.g., NeurIPS, ICML, ICLR, AAAI).

·       Frontier research and innovation: lead or deeply participate in foundational and applied research on AI in gaming.

·       AI-native support in next-generation game engines: explore how AI can reshape game-development pipelines, enabling real-time physics simulation, automated testing, performance optimization, and more.

·       Technology strategy and deployment: Translate cutting-edge research outcomes into deployable, high-performance, scalable technical solutions, and drive their integration and application in key game projects to create significant player and commercial value.

Requirements

·       Experience leading research projects or teams.

·       In-depth research and practical experience in one or more of the following areas: deep learning, generative models (Diffusion, GANs, LLMs), reinforcement learning (especially multi-agent RL), computer vision, and natural language processing and understanding.

·       Experience successfully transforming research prototypes into real products.

·       Has obtained or is about to obtain a PhD in Computer Science, AI, Machine Learning, Mathematics, Statistics, or related fields.

Highlights & Support: This recruitment covers approximately 1 position with compensation of above RMB 1M/year. Specific position level, compensation, and support terms can be further negotiated based on the candidate's academic background, project experience, commercialization achievements, and interview results.