AI/ML Software Engineer III — ML Infrastructure

Jobzhr

Mountain View (CA)

On-site

USD 147,000 - 211,000

Full time

6 days ago
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Job summary

Google’s software engineers in Mountain View develop next-generation technologies powering billions of users. You will work on high-impact projects across AI, ML infrastructure, and large-scale systems. The role emphasizes versatility, leadership, and willingness to tackle diverse challenges across full-stack development.

Individual pay varies with skills and experience. The package may include base salary, bonus, equity, and comprehensive benefits.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience programming in Python or C++.
  • 1 year of experience with one or more: Speech/audio, reinforcement learning, ML infrastructure, or ML specialization.
  • 1 year of experience with ML infrastructure (model deployment, evaluation, optimization, data processing, debugging).

Responsibilities

  • Write product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices.
  • Contribute to existing documentation or educational content and adapt content based on product updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing sources of issues and impact on hardware, network, or service operations.
  • Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Skills

Python
C++
Speech/Audio ML
Reinforcement learning
ML infrastructure

Education

Bachelor’s degree or equivalent practical experience
Master's degree or PhD in CS or related fields

Job description

Google’s software engineers in Mountain View develop next-generation technologies powering billions of users. You will work on high-impact projects across AI, ML infrastructure, and large-scale systems. The role emphasizes versatility, leadership, and willingness to tackle diverse challenges across full-stack development.

Individual pay varies with skills and experience. The package may include base salary, bonus, equity, and comprehensive benefits.

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