Senior Staff Software Engineer, Search Platforms, GenAI Content
Mountain View, CA, USA · Senior Staff · Full-time · Posted Oct 9, 2026
- Experience
- 8 years software development; 8 years testing, maintaining, or launching software products; 5 years software design and architecture; 8 years ML/AI; 7 years technical project strategy, ML design, and ML infrastructure optimization; 2 years GenAI techniques or related concepts.
- Education
- Bachelor's degree or equivalent practical experience.
About the job
Develops GenAI technologies and content platforms for Google Search, including content understanding, AI-generated content, and new search experiences.
What you'll do
- Develop and deploy GenAI technology and conduct applied research into new techniques and content experiences.
- Build content understanding, content generation, evaluation, signals, measurements, and supporting infrastructure across content types.
- Enable downstream content applications and improve product metrics across Search and other Google surfaces.
What they ask for
- Bachelor's degree or equivalent practical experience.
- 8 years of software development experience in one or more programming languages, including data structures and algorithms; 8 years testing, maintaining, or launching software products; and 5 years in software design and architecture.
- 8 years of experience with ML/AI algorithms and tools, deep learning, or other AI/ML modeling.
- 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, large language models, real-world content applications, or deep learning frameworks such as JAX, TFX or TFlex.
Pay
$262000 - $364000 USD base salary; 25% bonus target (USD amount not stated)
Tools
GenAI, LLMs, multi-modal, large vision models, JAX, TFX, TFlex
AI focus
Applied research and development of GenAI for multimodal content understanding, AI-generated content, evaluation, content modeling, and Search experiences.
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