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Staff Software Engineer, Machine Learning, GeminiApp Personalization, DeepMind
Google
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Mountain View, United States
Location
Mountain View
Posted
June 03, 2026
Commute
Local Area
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This job is in your area. Enjoy a short commute and work close to home.
Job Description
Staff Software Engineer, Machine Learning, GeminiApp Personalization, DeepMind
_corporate_fare_ DeepMind _place_ Mountain View, CA, USA
**Minimum qualifications:**
+ Bachelorโs degree or equivalent practical experience.
+ 8 years of experience in software development.
+ 5 years of experience testing, and launching software products.
+ 5 years of experience working with machine learning, AI, large language models (LLM) to process and create data.
+ 5 years of experience in software development with Python.
+ 3 years of experience with software design and architecture.
**Preferred qualifications:**
+ Masterโs degree or PhD in Engineering, Computer Science, or a related technical field.
+ 8 years of experience with data structures and algorithms.
+ 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
+ 3 years of experience in a technical leadership rol...
_corporate_fare_ DeepMind _place_ Mountain View, CA, USA
**Minimum qualifications:**
+ Bachelorโs degree or equivalent practical experience.
+ 8 years of experience in software development.
+ 5 years of experience testing, and launching software products.
+ 5 years of experience working with machine learning, AI, large language models (LLM) to process and create data.
+ 5 years of experience in software development with Python.
+ 3 years of experience with software design and architecture.
**Preferred qualifications:**
+ Masterโs degree or PhD in Engineering, Computer Science, or a related technical field.
+ 8 years of experience with data structures and algorithms.
+ 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
+ 3 years of experience in a technical leadership rol...