Senior Staff Machine Learning Engineer, Agentic AI Platform (Ads Ranking)

Responsibilities

• Develop advanced ML models and the agentic workflows that help teams design, train, evaluate, and improve them.
• Use tools such as Claude, Cursor, and comparable AI-assisted development systems to investigate model behavior, generate and test hypotheses, automate repetitive analysis, and improve code and experiments.
• Build reliable loops for data and label analysis, feature and embedding development, architecture comparison, hyperparameter optimization, error analysis, and experiment readouts.
• Design evaluation harnesses that measure both model outcomes and agent/workflow quality, including correctness, reproducibility, regressions, cost, and latency.
• Partner with product, data science, ML infrastructure, and engineering teams to connect modeling improvements to user and business outcomes.
• Set technical direction across teams, mentor engineers, and raise the bar for modeling rigor and AI-assisted engineering.

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