Staff Machine Learning Engineer

Design and deploy large-scale ML systems for personalized advertising and recommendations using state-of-the-art techniques such as transformer-based models, contrastive learning, and vector search. Own the ML lifecycle: experimentation, evaluation metrics, production pipelines, monitoring, and optimization. Define and track KPIs to measure model impact and identify high-leverage opportunities for improvement. Collaborate closely with product, engineering, and data science teams to align technical solutions with business goals and customer experience. Contribute to the development of the ad quality stack and participate in initiatives that extend to ad exchanges, DSPs, and SSPs. Mentor teammates, communicate complex topics clearly, and thrive in a fast-paced, cross-cultural environment.