Staff Machine Learning Engineer, Personalization

About the role

This staff-level role owns ranking and recommendation models that power a global home feed for millions of users. The engineer takes large language models from research through fine-tuning, distillation and evaluation into production, drives A/B experimentation, and mentors peers. It requires 8+ years of production ML experience, strong Python and PyTorch, and large-scale inference and distributed training skills.