Senior Staff Software Engineer, AI/ML, Google Workspace
Sunnyvale, CA, USA +1 · Senior Staff · Full-time · Posted Oct 28, 2026
- Location
- Sunnyvale, CA, USA
Mountain View, CA, USA - Experience
- 8 years in software development; 7 years leading technical project strategy, ML design, and industry-scale end-to-end ML optimization; 5 years in design and architecture and testing/launching software products; 5 years in speech/audio, reinforcement learning, ML infrastructure, or another ML field.
- Education
- Bachelor’s degree or equivalent practical experience.
About the job
Leads technical strategy and engineering for large-scale machine learning infrastructure and AI-powered Google Workspace productivity products.
What you'll do
- Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
- Lead technical strategy and optimize large-scale ML infrastructure across specialized ML areas.
- Set project priorities and timelines, align teams, and coach a distributed engineering team.
What they ask for
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale end-to-end Machine Learning.
- 5 years of experience with design and architecture and testing/launching software products; plus 5 years in speech/audio, reinforcement learning, ML infrastructure, or another ML field.
Nice to have
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures/algorithms; 5 years in technical leadership; or 3 years working on cross-functional or cross-business projects.
Pay
$262000 - $364000 (USD) (base salary)
Tools
Machine Learning
AI focus
Develops AI-powered Workspace productivity features and leads ML strategy and infrastructure optimization, including model deployment, model evaluation, data processing, and debugging.
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