Senior Staff Software Engineer, ML, Search Ads Creatives
Mountain View, CA, USA · Senior Staff · Full-time · Posted Sep 28, 2026
- Experience
- 8 years in software development and ML/AI modeling; 8 years testing, maintaining, or launching software products; 5 years in software design and architecture; 7 years leading technical project strategy, ML design, and ML infrastructure optimization; 2 years with GenAI techniques or related concepts.
- Education
- Bachelor's degree or equivalent practical experience; PhD in Computer Science, Statistics, or related fields preferred.
About the job
Lead development of AI-powered Search Ads creative systems that generate and compose high-quality ad assets while meeting user and advertiser needs and constraints.
What you'll do
- Design, develop, test, deploy, maintain, and enhance software; build scalable end-to-end infrastructure under tight latency and freshness constraints.
- Set technical project strategy, roadmap, goals, and cross-team OKRs; collaborate with partner teams and stakeholders.
- Automate ad creation while maintaining oversight of advertiser constraints and ROI, and improve user and advertiser experiences.
What they ask for
- Bachelor's degree or equivalent practical experience.
- 8 years of software development experience in one or more programming languages, data structures, and algorithms; 8 years with ML/AI algorithms, tools, deep learning, or other AI/ML modeling.
- 8 years testing, maintaining, or launching software products, including 5 years with software design and architecture.
- 7 years leading technical project strategy, ML design, and ML infrastructure optimization; 2 years with GenAI techniques or related concepts.
Nice to have
- PhD in Computer Science, Statistics, or related fields.
- Experience with GenAI model fine-tuning, LLM development or product enablement, real-world content applications, Search/Ads infrastructure, auction mechanics, or generative AI models.
Pay
USD 262000 - 364000 base salary
Tools
GenAI, Gemini, LLMs, multimodal, large vision models, machine learning, deep learning, Google Ads
AI focus
Apply machine learning and Generative AI models to automate generating and composing ad creative assets and monetize new AI surfaces.
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