Generative AI Engineer, Search Platforms

Google

Mountain View (CA)

On-site

USD 147,000 - 210,000

Full time

9 days ago

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Job summary

Google is seeking a Software Engineer III, Generative AI, in Mountain View, CA, to advance GenAI applications across search features. You will architect and implement scalable code, collaborate across teams, and drive ML-driven improvements in a fast-paced environment.

Minimum qualifications include a CS degree or equivalent, 2 years of software development, and 1 year in AI/ML research and GenAI agent development. In-person interviews are typically required.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year with an advanced degree.
  • 2 years of experience in data analytical tools or data analysis (e.g., SQL, Python, BI, dashboards).
  • Experience with GenAI techniques (LLMs, multimodal, LVMs) or GenAI concepts (language modeling, computer vision).
  • 1 year of experience in AI/ML research and Generative AI agent development.
  • 1 year of experience with system design.

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 updates and user feedback.
  • Triage product or system issues and debug/track/resolve impact on hardware, network, or service operations.
  • Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.

Skills

Programming experience
Data analysis skills
GenAI knowledge
System design

Education

Bachelor's degree or equivalent
Master's degree or PhD in CS or related field

Tools

Rasta
coLaboratory
Business Intelligence
C++

Job description

Google is seeking a Software Engineer III, Generative AI, in Mountain View, CA, to advance GenAI applications across search features. You will architect and implement scalable code, collaborate across teams, and drive ML-driven improvements in a fast-paced environment.

Minimum qualifications include a CS degree or equivalent, 2 years of software development, and 1 year in AI/ML research and GenAI agent development. In-person interviews are typically required.

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