Software Engineer III, Vertex Model Garden
@ Google

Sunnyvale, California, United States
$170,000
On Site
Full Time
Posted 6 hours ago

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Job Details

Minimum 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. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Experience with GenAI techniques or related concepts is required.

Preferred Qualifications

Master's degree or PhD in Computer Science or a related field. 2 years of experience with data structures or algorithms. Experience in developing accessible technologies, GenAI Agent development, and cloud services along with Generative AI infrastructure.

About the Job

At Google, Software Engineer III, Vertex Model Garden will develop next-generation technologies impacting billions worldwide. You will join the ML, Systems, & Cloud AI (MSCA) organization that supports Google Cloud’s Vertex AI platform with a focus on ML, GenAI, and full-stack problem solving. This role involves versatile challenges from system design to debugging at scale.

Compensation

The US base salary range for this full-time position is $141,000-$202,000, plus bonus, equity, and benefits. Compensation factors include role, level, location, and individual qualifications.

Responsibilities

  • Write product or system development code.
  • Collaborate via design and code reviews ensuring best practices.
  • Contribute to documentation and update educational content as needed.
  • Triage issues and debug product/system problems.
  • Implement GenAI solutions and contribute to ML infrastructure improvements.

Key skills/competency

  • Software Development
  • ML Infrastructure
  • GenAI
  • Cloud Services
  • Full-stack Development
  • System Design
  • Debugging
  • Data Processing
  • Code Review
  • Documentation
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How to Get Hired at Google

🎯 Tips for Getting Hired

  • Research Google: Understand their culture and mission.
  • Customize your resume: Highlight ML and GenAI experience.
  • Prepare examples: Showcase scalable system design skills.
  • Practice coding: Emphasize problem-solving and debugging.

📝 Interview Preparation Advice

Technical Preparation

Review ML infrastructure fundamentals.
Practice coding and system design problems.
Study cloud services and deployment techniques.
Debug sample code efficiently.

Behavioral Questions

Describe a time you solved a complex problem.
Explain a challenging project in ML implementation.
Share an experience with team collaboration.
Discuss feedback received during code reviews.

Frequently Asked Questions