Staff Software Engineer, AI/ML GenAI, Google Workspace
New York, NY, USA · Staff · Full-time · Posted Mar 4, 2026
- Experience
- 8 years in software development; 5 years leading ML design and optimizing industry-scale end-to-end ML; 5 years testing and launching software products; 3 years in software design and architecture; 2 years with state-of-the-art GenAI techniques or related concepts. Preferred: 8 years in data structures/algorithms; 3 years in technical leadership; 3 years in cross-functional or cross-business projects.
- Education
- Bachelor’s degree or equivalent practical experience.
About the job
Leads development of large-scale GenAI and machine learning capabilities for Google Workspace productivity products.
What you'll do
- Design, develop, test, deploy, maintain, and enhance large-scale software solutions; lead high-impact projects.
- Lead GenAI solution design, optimize ML infrastructure, and guide data preparation and model optimization strategies.
- Align teams on goals and timelines, and influence and coach a distributed engineering team.
What they ask for
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development; 5 years leading ML design and optimizing industry-scale end-to-end Machine Learning; 5 years testing and launching software products; 3 years in software design and architecture.
- 2 years of experience with state-of-the-art GenAI techniques or related concepts.
Nice to have
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- Experience in data structures/algorithms, technical leadership, and cross-functional or cross-business projects.
Pay
$207000 - $301000 (USD) base salary
Tools
GenAI, Machine Learning, LLMs, Multi-Modal, Large Vision Models, language modeling, computer vision
AI focus
Lead GenAI solution design, optimize ML infrastructure, and guide data preparation and model optimization for Google Workspace; work with model builders at Google DeepMind.
Model-written summary · the original posting is authoritative