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Algorithm Research Intern — Agentic Vision

Tencent · Singapore · Posted 3 days ago

ic
PyTorchDeep LearningReinforcement LearningPPOGRPOSFTDistributed TrainingMultimodal Foundation Models

Shape how Hunyuan multimodal models reason with images and video by building RL post-training loops, verifiable visual data pipelines, and interactive agent sandboxes.

Business Unit Technology Engineering Group (TEG) is responsible for supporting the company and its business groups on technology and operational platforms, as well as the construction and operation of R&D management and data centers, TEG provides users with a full range of customer services. As the operator of the largest networking, devices, and data center in Asia,TEG also leads the Tencent Technology Committee in strengthening infrastructure R&D through internal and distributed open source collaboration, constructing new platforms and supporting business innovation. What the Role Entails 1. Conduct research and development on Agentic Vision for Hunyuan multimodal foundation models, focusing on visual reasoning post-training. Integrate visual perception, planning, tool and code execution, environment feedback, and self-correction to enable dynamic, interactive visual reasoning (Thinking with Images / Video). 2. Advance visual reasoning and spatial intelligence, focusing on fine-grained perception, mathematical and scientific diagram reasoning, 3D spatial understanding, complex visual logic (puzzles and games), and embodied spatial planning. Improve reasoning and decision-making in complex scenarios. 3. Develop multimodal post-training methods, including cold-start SFT, online reinforcement learning (PPO / GRPO), on-policy distillation (OPD), and verifiers and reward models (Verifier / PRM / Rubric RM). Address credit assignment, long-horizon context management, and effective use of environment feedback in multi-turn interactions. 4. Build verifiable data synthesis pipelines using rendering engines, symbolic systems, and code sandboxes to generate challenging visual reasoning data and multi-turn agent trajectories. Establish a continuously improving data flywheel through real-world data mining, rejection sampling, difficulty stratification, deduplication, contamination prevention, and data mixture optimization. 5. …

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