
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.
走进这场面试
免费 · 一场按这个岗位校准的真语音模拟
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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