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The VP of Research, Machine Learning will set research direction for AI systems, focusing on context representation, reasoning, and evaluation frameworks while ensuring product safety and alignment.

The role involves leading engineering teams and strategies for AI-powered applications, ensuring integration of ML capabilities into user-friendly systems across various platforms while promoting a culture of technical excellence.

Lead the development of production-grade machine learning systems, build ML pipelines, and optimize models for deployment and performance.

The Technical Talent Partner will manage the full recruitment lifecycle for US-based technical roles and build candidate pipelines, focusing on screening and coordinating interviews with engineering teams.