PhD in Computer Science, Artificial Intelligence or a related field, or equivalent practical experience. At least 5 years of proven experience as an AI research engineer or more than 2 years of experience and a PhD Expertise in generative modeling, including autoregressive transformers, diffusion models, or VAEs. Expertise in reinforcement learning, particularly RLHF, multi-agent systems, or reward modeling. Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, JAX).