Lead ML model development for Google's ad creative composition and delivery systems

This Senior SWE role owns end-to-end development of ML models — deep learning, reinforcement learning, generative AI — that power automatic construction and selection of ad creative elements at Google. The JD asks for someone who sets technical strategy for ML components, builds scalable ML pipelines with infra teams, and mentors engineers, working at the intersection of GenAI, large-scale distributed systems, and ad product needs.

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Likely format

Google's standard SWE loop typically includes phone screens on coding/algorithms, followed by an onsite with coding, ML system design, and Googleyness/leadership rounds.

What this interview tests

End-to-end ML model development (deep learning, RL, generative AI) to production
Setting technical strategy/roadmap for ML components
Building scalable ML pipelines with infra/serving teams
Experimentation and measuring algorithmic impact (creative selection, freshness, exploration)
Mentoring engineers and driving best practices in applied ML