Your work will focus on how large-scale AI models can acquire robust, generalizable, and goal-directed behaviors through reinforcement learning, multimodal experience, and interaction with learned or simulated environments. * Your work will bridge foundational research and practical implementation, and will contribute to the design of architectures that connect representation learning, latent dynamics modeling, reinforcement learning, and large-scale behavior modeling. + experience with model-based, offline, hierarchical, imitation, or constrained RL + designing methods for long-horizon optimization, generalization, and robust adaptation + experience with latent-state modeling, uncertainty-aware prediction, and validation + experience with large-scale deep learning and transformer-based or multimodal models - o Industrial Experience, Software Engineering & AI Infrastructure
mehr