Senior Software Engineer, Generative AI, Ads Safety

Written by the T&S Network from Google's posting.

Builds machine learning systems for ads content safety, covering multi-modal content understanding and automated policy enforcement across Google's ads ecosystem. The Ads Content Safety ML Accelerator team works to cut enforcement latency from days to minutes and reduce human involvement in the model lifecycle.

What you'd do

• Write and test product and system development code for ads safety ML systems.
• Lead or join design reviews with peers and stakeholders to choose among available technologies.
• Build a toolkit that automates model training, with AI agents running model evaluation and prompt optimization.
• Create end-to-end ML designs covering automatic model refresh, large-volume data pipelines, and early signal integration.
• Develop multi-modal LLM teacher models that interpret video for ads at large scale.
• Update documentation and educational content based on product changes and user feedback.

What it asks for

• Bachelor's degree or equivalent practical experience.
• Five years building software, applied ML, autonomous systems, or systems at large scale.
• Three years running the full ML cycle: building, shipping, assessing, and troubleshooting models.
• 3 years of experience in one or more of Multi-Modal LLMs, Computer Vision, NLP, or Reinforcement Learning.
• 1 year of experience with GenAI techniques such as agentic workflows, RAG, ICL, or RSI.
• Master's degree or PhD in Computer Science or a related technical field (preferred).
• Five years of algorithm and data structure work (preferred).

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