腾讯(tencent)招聘Research Intern 107048
招聘职位：
Research Intern 107048 搜索同类职位
岗位职责：
Business Unit
What the Role Entails
We are seeking highly motivated Research Interns to work on cutting-edge problems in multimodal foundation models and multimodal agents.
The intern will contribute to advancing models that understand, generate, and act across multiple modalities (e.g., vision, language, video, audio, and GUI environments), with applications in embodied intelligence, computer-use agents, and world models.
You will collaborate closely with a team of researchers and engineers to design novel algorithms, build large-scale training pipelines, and publish at top venues (e.g., CVPR, ICCV, NeurIPS, ICLR, ACL).
Responsibilities
- Conduct original research on multimodal foundation models or multimodal agents
- Implement and experiment with large-scale models (training, fine-tuning, evaluation)
- Design new model architectures, objectives, or data pipelines
- Work with large multimodal datasets (image, video, text, UI trajectories, etc.)
- Contribute to papers, technical reports, and open-source projects
- Collaborate with cross-functional teams on research prototypes
Who We Look For
Currently pursuing a PhD or Master’s in Computer Science, AI, Machine Learning, or related fields
Strong background in deep learning and machine learning fundamentals
Solid programming skills in Python and PyTorch/JAX
Experience with at least one of:
- Vision–language models
- Large language models
- Video understanding/generation
- Reinforcement learning or imitation learning
- Strong problem-solving and research skills
Publications at top conferences (CVPR, ICCV, NeurIPS, ICLR, ACL, etc.)
Experience training large models or working with distributed systems
Experience with multimodal datasets and evaluation benchmarks
Familiarity with:
- Transformer architectures and scaling laws
- Multimodal alignment (contrastive learning, instruction tuning)
- Agent training (RLHF/RLAIF, planning, tool use)
- Synthetic data generation or simulation environments
- Experience with long-context training or memory mechanisms
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.
Work Location: Singapore-CapitaSky
岗位要求：
岗位要求详情请见上方岗位职责内说明
Business Unit
What the Role Entails
We are seeking highly motivated Research Interns to work on cutting-edge problems in multimodal foundation models and multimodal agents.
The intern will contribute to advancing models that understand, generate, and act across multiple modalities (e.g., vision, language, video, audio, and GUI environments), with applications in embodied intelligence, computer-use agents, and world models.
You will collaborate closely with a team of researchers and engineers to design novel algorithms, build large-scale training pipelines, and publish at top venues (e.g., CVPR, ICCV, NeurIPS, ICLR, ACL).
Responsibilities
- Conduct original research on multimodal foundation models or multimodal agents
- Implement and experiment with large-scale models (training, fine-tuning, evaluation)
- Design new model architectures, objectives, or data pipelines
- Work with large multimodal datasets (image, video, text, UI trajectories, etc.)
- Contribute to papers, technical reports, and open-source projects
- Collaborate with cross-functional teams on research prototypes
Who We Look For
Currently pursuing a PhD or Master’s in Computer Science, AI, Machine Learning, or related fields
Strong background in deep learning and machine learning fundamentals
Solid programming skills in Python and PyTorch/JAX
Experience with at least one of:
- Vision–language models
- Large language models
- Video understanding/generation
- Reinforcement learning or imitation learning
- Strong problem-solving and research skills
Publications at top conferences (CVPR, ICCV, NeurIPS, ICLR, ACL, etc.)
Experience training large models or working with distributed systems
Experience with multimodal datasets and evaluation benchmarks
Familiarity with:
- Transformer architectures and scaling laws
- Multimodal alignment (contrastive learning, instruction tuning)
- Agent training (RLHF/RLAIF, planning, tool use)
- Synthetic data generation or simulation environments
- Experience with long-context training or memory mechanisms
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.
Work Location: Singapore-CapitaSky
岗位要求：
岗位要求详情请见上方岗位职责内说明
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