混元AIGC算法研究员（世界模型基模方向）（北京/上海）
Tencent
混元AIGC算法研究员（世界模型基模方向）（北京/上海）
Job Description
混元AIGC算法研究员（世界模型基模方向）（北京/上海）
📋 Job Overview
The role involves researching and developing video world large models at Tencent, focusing on the base model direction. Responsibilities include designing training data, algorithms, optimizations, evaluations, and exploring downstream applications to advance world model capabilities. The position is based in Beijing or Shanghai and aims to push the boundaries of next-generation model architectures.
📍 Location: Shenzhen, China
🏢 Business Unit: TEG
📄 Full Description
2.科学分析研发中的各种问题，找到模型性能的瓶颈，从第一性原理出发找到解决方案，加速世界模型的开发和迭代，确保模型的竞争力和领先性；
3.探索实现世界模型的不同范式，研究下一代的模型架构，探索世界模型的边界。
🎯 Key Responsibilities
- Engage in the R&D of video world large models, including the design and construction of training data, design of base model algorithms, optimizations related to pre-training/SFT/RL, model capability evaluation, and exploration of various downstream application scenarios.
- Scientifically analyze various problems in R&D, identify bottlenecks in model performance, find solutions from first principles, accelerate the development and iteration of world models, and ensure the model's competitiveness and leadership.
- Explore different paradigms for implementing world models, research next-generation model architectures, and explore the boundaries of world models.
Locations
- Shenzhen, China
Salary
600,000 - 1,200,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Engage in the R&D of video world large models, including the design and construction of training data, design of base model algorithms, optimizations related to pre-training/SFT/RL, model capability evaluation, and exploration of various downstream application scenarios.
- Scientifically analyze various problems in R&D, identify bottlenecks in model performance, find solutions from first principles, accelerate the development and iteration of world models, and ensure the model's competitiveness and leadership.
- Explore different paradigms for implementing world models, research next-generation model architectures, and explore the boundaries of world models.
Tags & Categories
Answer 10 quick questions to check your fit for 混元AIGC算法研究员（世界模型基模方向）（北京/上海） @ Tencent.
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混元AIGC算法研究员（世界模型基模方向）（北京/上海）
Tencent
混元AIGC算法研究员（世界模型基模方向）（北京/上海）
Job Description
混元AIGC算法研究员（世界模型基模方向）（北京/上海）
📋 Job Overview
The role involves researching and developing video world large models at Tencent, focusing on the base model direction. Responsibilities include designing training data, algorithms, optimizations, evaluations, and exploring downstream applications to advance world model capabilities. The position is based in Beijing or Shanghai and aims to push the boundaries of next-generation model architectures.
📍 Location: Shenzhen, China
🏢 Business Unit: TEG
📄 Full Description
2.科学分析研发中的各种问题，找到模型性能的瓶颈，从第一性原理出发找到解决方案，加速世界模型的开发和迭代，确保模型的竞争力和领先性；
3.探索实现世界模型的不同范式，研究下一代的模型架构，探索世界模型的边界。
🎯 Key Responsibilities
- Engage in the R&D of video world large models, including the design and construction of training data, design of base model algorithms, optimizations related to pre-training/SFT/RL, model capability evaluation, and exploration of various downstream application scenarios.
- Scientifically analyze various problems in R&D, identify bottlenecks in model performance, find solutions from first principles, accelerate the development and iteration of world models, and ensure the model's competitiveness and leadership.
- Explore different paradigms for implementing world models, research next-generation model architectures, and explore the boundaries of world models.
Locations
- Shenzhen, China
Salary
600,000 - 1,200,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Engage in the R&D of video world large models, including the design and construction of training data, design of base model algorithms, optimizations related to pre-training/SFT/RL, model capability evaluation, and exploration of various downstream application scenarios.
- Scientifically analyze various problems in R&D, identify bottlenecks in model performance, find solutions from first principles, accelerate the development and iteration of world models, and ensure the model's competitiveness and leadership.
- Explore different paradigms for implementing world models, research next-generation model architectures, and explore the boundaries of world models.
Tags & Categories
Answer 10 quick questions to check your fit for 混元AIGC算法研究员（世界模型基模方向）（北京/上海） @ Tencent.
Related Books and Jobs