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Google

Senior

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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可能的面试形态

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.

这场面试考什么

  • 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

常见提问方向

Describe an ML model you shipped from concept to production and the architecture behind it

How did you set technical direction for an ML system and get buy-in across teams

Explain an explore/exploit or freshness tradeoff you handled in a recommendation or ad system

How do you evaluate whether an ML change moved the right metric

Mentoring: how have you leveled up other engineers on ML system design

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