多模态与世界模型强化学习算法研究员-Seed
Core
Researching frontier technologies in multimodal understanding, generative AI, machine learning, reinforcement learning, and world models to build scalable, optimized foundation models and virtual world agents.
Role type
Senior Research Scientist (Multimodal & World Models)
Builds
Large-scale multimodal foundation models, virtual world agents (GUI/Games), and AI-driven new products.
Domain
Artificial Intelligence, Machine Learning, Computer Vision, Reinforcement Learning
Deliverable
production ML models
Required skills
Multimodal understanding, Generative AI, Reinforcement Learning, Machine Learning, Computer Vision, Large Language Models, Model Optimization, Data Synthesis, Scalable Oversight, Model Reasoning, Planning
Preferred skills
Publications in CVPR/ECCV/ICCV/NeurIPS/ICLR/SIGGRAPH, ACM/ICPC/NOI/IOI/Kaggle awards, Leading high-impact projects in multimodal/world models/RL/rendering
Technologies
C/C++, Python, Pre-training, Simulation
Responsibilities
Explore multimodal understanding and generative AI technologies; Optimize large-scale multimodal foundation models; Develop multimodal agents for virtual environments; Model virtual/real-world environments using pre-training and simulation.
