Cerebras

Applied AI Scientist role focused on developing and customizing large language and deep learning models for customer problems using Cerebras' wafer-scale engine. Responsibilities include customer use case discovery, architecting and executing end-to-end training recipes, fine-tuning models, building agentic system components, and providing technical customer leadership. Requires strong expertise in deep learning, large model training/fine-tuning, Python, PyTorch, and distributed training.

Staff Python/PyTorch Developer for Frontend Inference Compiler at Cerebras, focusing on optimizing generative AI models for their wafer-scale AI chip. Responsibilities include developing compiler infrastructure, analyzing new models, and improving inference performance.