GenAI ML Engineer III - AI Systems & Deployment

Google Inc.

Mountain View (CA)

On-site

USD 147,000 - 210,000

Full time

4 days ago
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Job summary

Google's YouTube team in Mountain View, CA seeks a Software Engineer III with GenAI focus to advance AI/ML platforms at scale. You will contribute to deploying models, evaluate and optimize pipelines, and collaborate across teams on multimedia generation tasks.

You will work on GenAI concepts like LLMs, multi-modal models, and vision/audio generation, with responsibilities including coding, reviews, and documentation. The role offers competitive compensation, equity, and benefits.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience programming in Python and C++.
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • Experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation.

Responsibilities

  • Write product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.

Skills

Python
C++
ML infrastructure
GenAI concepts
LLM

Education

Bachelor’s degree
Master’s degree or PhD

Job description

Google's YouTube team in Mountain View, CA seeks a Software Engineer III with GenAI focus to advance AI/ML platforms at scale. You will contribute to deploying models, evaluate and optimize pipelines, and collaborate across teams on multimedia generation tasks.

You will work on GenAI concepts like LLMs, multi-modal models, and vision/audio generation, with responsibilities including coding, reviews, and documentation. The role offers competitive compensation, equity, and benefits.

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