ML/LLM Enabled Software Engineering Manager

Google

Mountain View (CA)

On-site

USD 262,000 - 364,000

Full time

2 days ago
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Job summary

Google is seeking a Software Engineering Manager in Mountain View to lead and grow a team of engineers responsible for cutting-edge AI and mobile platform innovations. You will steer ML model work, agent development, and cross-team collaboration to deliver high-impact features across Android and AI platforms.

The role emphasizes technical leadership, project governance, and team growth within a global, fast-paced environment. In-person interviews are common in this process.

Qualifications

  • Bachelor’s degree, or equivalent practical experience.
  • 8 years of experience programming in C++, Java, Python, Kotlin or Go.
  • 5 years of experience in a technical leadership role.
  • 5 years of experience in a people management or team leadership role.
  • Experience with machine learning, large language models, Python, and machine learning optimization.

Responsibilities

  • Perform advanced ML modeling with large language models (LLMs).
  • Develop AI agents that understand user behavior, screen content and use tools/APIs.
  • Optimize ML models for on-device performance.
  • Collaborate with GDM, Gemma Frontier, Gemini app, and Android framework teams.

Skills

Programming: Python
Programming: C++
Programming: Java
Go/Kotlin
Leadership
People management
ML/LLMs
Problem solving

Education

Bachelor’s degree or equivalent practical experience
Master’s degree or PhD in ML or related field

Tools

Android framework
ML frameworks

Job description

Google is seeking a Software Engineering Manager in Mountain View to lead and grow a team of engineers responsible for cutting-edge AI and mobile platform innovations. You will steer ML model work, agent development, and cross-team collaboration to deliver high-impact features across Android and AI platforms.

The role emphasizes technical leadership, project governance, and team growth within a global, fast-paced environment. In-person interviews are common in this process.

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