Staff AI/ML Software Engineer, YouTube Ads Creative Foundations
Mountain View, CA, USA · Staff · Full-time · Posted Sep 28, 2026
- Experience
- 8 years in software development; 5 years testing and launching software products; 5 years in large-scale infrastructure, distributed systems or networks, or compute technologies, storage, or hardware architecture; 3 years in software design and architecture. Also requires experience designing or deploying ML infrastructure or platforms. Preferred: 8 years in data structures and algorithms; 3 years in technical leadership; 3 years in a complex, matrixed organization.
- Education
- Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
About the job
Leads the architecture and development of scalable infrastructure for YouTube Ads AI/ML applications, including creative generation, optimization, media processing, and model experimentation.
What you'll do
- Architect and guide foundational infrastructure, creative data engines, generation and rendering pipelines, and agentic orchestration frameworks.
- Design distributed systems for GenAI and media-processing workloads; build infrastructure for model training, evaluation, and deployment.
- Set technical direction, partner with Product, Research, and leadership, and mentor engineers.
What they ask for
- Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
- 8 years of experience in software development; 5 years testing and launching software products.
- 5 years building large-scale infrastructure, distributed systems or networks, or working with compute technologies, storage, or hardware architecture.
- 3 years in software design and architecture, plus experience designing or deploying ML infrastructure or platforms.
Nice to have
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field; 3 years in technical leadership and 3 years working in a complex, matrixed organization.
- Proficiency in deep learning frameworks (e.g., TensorFlow, PyTorch) and cloud/distributed data technologies.
Pay
$207000 - $300000 (USD) base salary
Tools
GenAI, Gemini, TensorFlow, PyTorch
AI focus
Builds infrastructure for AI/ML applications, creative generation and optimization, GenAI workloads, and model training, evaluation, and deployment.
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