Research Direction: Determining and leading research initiatives aligned with the trend of frontier
Research and Experimentation: Designing and running experiments to validate hypotheses on the
Analysis: Interpreting experimental results and translating them into actionable insights
Model Innovation: Creating novel generative model architectures, training methodologies, RL

🎯 Requirements

Rich experience in the development, training, and iteration of foundational large-scale
Strong academic and professional track record, including peer-reviewed publications in top-tier
Rich experience in large-scale parallel model pre-training across hundreds of GPUs
Proficiency in Python, PyTorch, Diffusers, Transformers, Megatron, DeepSpeed, and cloud computing
Ability to share your knowledge internally through documentation and cross-team collaborations, and
Curiosity! Always looking to stay ahead of industry trends by tracking AI literature, competitors

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