Director of Machine Learning, Safety & Mods
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仕事内容
Lead the vision and execution of ML in safety and moderation, building scalable, proactive systems to prevent abuse and protect users.
Build and guide a high-performing team of applied scientists and engineers, owning model development, productionization, and continuous improvement.
Develop and deploy cutting-edge systems including fine-tuned LLMs and transformer models, focusing on quality, latency, and efficiency.
Collaborate with Safety, Product, Moderation, and AI/ML Platform teams to identify risks, design ML opportunities, and enhance user experience.
Drive experimentation, evaluation, and lifecycle management with emphasis on precision, recall, explainability, and policy alignment.
Champion ethical AI practices, track performance with metrics, and represent Safety ML in internal and external forums.
Build and guide a high-performing team of applied scientists and engineers, owning model development, productionization, and continuous improvement.
Develop and deploy cutting-edge systems including fine-tuned LLMs and transformer models, focusing on quality, latency, and efficiency.
Collaborate with Safety, Product, Moderation, and AI/ML Platform teams to identify risks, design ML opportunities, and enhance user experience.
Drive experimentation, evaluation, and lifecycle management with emphasis on precision, recall, explainability, and policy alignment.
Champion ethical AI practices, track performance with metrics, and represent Safety ML in internal and external forums.
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