Senior GenAI/ML Cloud Engineer — Technical Leader

Google

Sunnyvale (CA)

On-site

USD 262,000 - 364,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
401(k) with company match
Paid time off
Sick time
Maternity leave
Baby bonding leave
Holidays

Job summary

Google is seeking a software engineer with extensive ML and GenAI experience to join our Cloud AI Research team. You will design scalable software, lead high-impact projects, and collaborate across teams to push AI innovations into real-world products.

The role emphasizes architectural design, system-level thinking, and leadership of distributed engineering efforts across Google’s platforms.

Qualifications

  • 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 ML infrastructure.
  • 5 years of experience with design and architecture; and testing/launching software products.
  • 2 years of experience with state of the art GenAI techniques or related concepts.

Responsibilities

  • Design, develop, test, deploy, maintain, and enhance large scale software solutions.
  • Provide technical leadership on high-impact projects; manage priorities, deadlines, deliverables.
  • Facilitate alignment across teams on goals, outcomes, and timelines; coach distributed engineers.
  • Drive technical project strategy and oversee GenAI solutions.

Skills

Software development
Technical leadership
GenAI techniques
Project strategy
Architecture
Team leadership

Education

Bachelor’s degree or equivalent
Master’s degree or PhD in Engineering or CS

Job description

Google is seeking a software engineer with extensive ML and GenAI experience to join our Cloud AI Research team. You will design scalable software, lead high-impact projects, and collaborate across teams to push AI innovations into real-world products.

The role emphasizes architectural design, system-level thinking, and leadership of distributed engineering efforts across Google’s platforms.

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