Senior AI/ML Software Engineer – ML Infra & Systems

Google

United States

On-site

USD 147,000 - 211,000

Full time

12 days ago

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Job summary

Google’s YouTube team in Mountain View, CA (or San Bruno, CA) is seeking a Software Engineer III, AI/ML to work on next-generation ML systems that scale to billions of users. The role emphasizes Python and C++ development, ML infrastructure, and collaboration across teams to push technology forward.

Responsibilities include coding, reviews, documentation, debugging, and ML model optimization, with a compensation package including base salary in the US market, plus a 15% bonus target, equity, and

Qualifications

  • BS degree or equivalent practical experience.
  • 2 years of experience programming in Python and C++.
  • 1 year of experience with one or more of: Speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
  • 1 year of experience with ML infrastructure (model deployment, model 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.
  • Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Skills

Python
C++
ML
ML infra

Education

Bachelor’s degree or equivalent practical experience

Job description

Google’s YouTube team in Mountain View, CA (or San Bruno, CA) is seeking a Software Engineer III, AI/ML to work on next-generation ML systems that scale to billions of users. The role emphasizes Python and C++ development, ML infrastructure, and collaboration across teams to push technology forward.

Responsibilities include coding, reviews, documentation, debugging, and ML model optimization, with a compensation package including base salary in the US market, plus a 15% bonus target, equity, and

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