Seeking a Machine Learning Engineer to join our advanced model development team, focusing on pre-training, continued training, and post-training of models, with emphasis on draft model optimization for speculative decoding and quantization-aware training (QAT). The ideal candidate has deep experience with training methodologies, open-weight models, and performance-tuning for inference.
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USD/year
As a Research Scientist in World Models, you will develop algorithms and productionize the next generation of World Simulation models that can reason about complex, dynamic 4D environments with minimal supervision. Your work will directly power Waabi Worldβs ability to comprehend the 4D physical world, simulate traffic participants and generate realistic safety-critical scenarios at scale.