Senior Researcher, Multi-Modality

Posted July 19, 2026

About this opportunity

Opportunity Overview

Tencent is hiring a Senior Researcher to work on multimodal understanding, post-training, reasoning, grounding, and agent planning, with a focus on real gaming scenarios. The role involves abstracting research problems from game business scenarios, solving them, and implementing solutions that serve diverse in-game applications. The Senior Researcher will advance the understanding capabilities of multimodal large models across images, video, text, and audio. The position is based at Tencent, where the researcher will collaborate with engineers to bring research prototypes into production and deploy them across game scenarios at scale. The Senior Researcher will lead post-training methodologies to improve model capability and reliability, and design and execute experiments end-to-end. They will also publish research at top-tier conferences and contribute to the broader research community. Tencent values diversity and believes that diverse voices fuel innovation, allowing the company to better serve its users and the community. The company fosters an environment where every employee feels supported and inspired to achieve individual and common goals. As an equal opportunity employer, Tencent is committed to creating a workplace where everyone can thrive.

Responsibilities

Pioneer new research directions in multimodal understanding, post-training, reasoning, grounding, and agent planning
Abstract research problems from game business scenarios and solve them
Advance the understanding capabilities of multimodal large models across images, video, text, and audio
Lead post-training methodologies, including SFT, RLHF/RLAIF, reward modeling, and preference alignment
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 research at top-tier conferences and contribute to the broader research community

Requirements & Qualifications

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 scenarios and drive them to deployment
Consistent first-author publications at leading venues, such as NeurIPS, ICML, CVPR, ACL, etc.
Strong implementation skills in modern ML frameworks, such as PyTorch, JAX, etc.
Proven ability to run complex experiments, analyze results, and iterate quickly
Passion for high-impact research with real-world applications

How to Apply

Review the job description and requirements to ensure you are a good fit for the role.
Prepare your application materials, including your resume, cover letter, and any other required documents.
Click the Apply button below to submit your application.

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