Sr. Staff Machine Learning Engineer, Agentic Ads

What you'll do

• Lead technical strategy for advancing ads ranking and bidding models using large-scale ML.
• Design and launch production models to enhance ads quality, relevance, and long-term value.
• Build training pipelines that continuously learn from online behavior and experimentation results.
• Drive technical design reviews and set modeling best practices across the ads ML stack.
• Mentor other MLEs and scientists in advanced modeling techniques and agentic workflows.
• Partner with senior leaders to translate business objectives into modeling roadmaps and metrics.
• Ensure models meet reliability, safety, fairness standards while complying with privacy constraints.

What we're looking for

• Minimum 8 years experience in applied machine learning with large scale ranking or ads systems.
• Deep expertise in modern recommendation and ranking techniques like gradient boosted trees and deep learning models.
• Experience building and operating ML systems at scale using Python or C++ and modern data platforms.
• Proven ability to use AI to enhance speed and quality in modeling, experimentation, and analysis workflows.
• Leadership in cross-functional initiatives and influence over senior partners across product, engineering, and research teams.
• Bachelor’s/Master’s degree in computer science, statistics, or equivalent practical experience required.
• High integrity and accountability for data handling, responsible use of AI, and final deliverables.