Multi-Modality Research Intern

Business Unit

About the Hiring Team

What the Role Entails

• Pioneer new research directions in multimodal understanding, post-training, reasoning, grounding, and agent planning, grounded in real gaming scenarios.
• Abstract research problems from game business scenarios, solve them, and land solutions that serve diverse in-game applications.
• Advance the understanding capabilities of multimodal large models (VLMs/MLLMs) across images, video, text, and audio.
• Lead post-training methodologies - SFT, RLHF/RLAIF, reward modeling, and preference alignment - to improve model capability and reliability.
• Design and execute experiments end-to-end: from data and benchmarking, to training, evaluation, and iteration.
• Collaborate with engineers to bring research prototypes into production and deploy them across game scenarios at scale.
• Publish at top-tier conferences and contribute to the broader research community.

Who We Look For

• Currently pursuing PhD in Computer Science, ML, or a related field, or equivalent research experience.
• Expertise in one or more of: multimodal understanding and vision-language reasoning; pre-/post-training of LLMs/VLMs; reinforcement learning and LLM-based agents; representation learning.
• Ability to abstract research problems from real business (ideally gaming) scenarios and drive them to deployment.
• Consistent first-author publications at leading venues (NeurIPS, ICML, CVPR, ACL, etc.).
• Strong implementation skills in modern ML frameworks (PyTorch, JAX, etc.).
• Proven ability to run complex experiments, analyze results, and iterate quickly.
• Passion for high-impact research with real-world applications.

Equal Employment Opportunity at Tencent

As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.