GenAI Software Engineer III: ML Infra & GenAI

Google Inc.; Sunnyvale (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google Sunnyvale seeks a software engineer to drive GenAI initiatives, deploy and optimize ML infrastructure, and contribute to scalable systems across the Google Cloud platform. You will work on projects spanning information retrieval and AI-powered features, collaborating with engineers, researchers, and product teams.

The role emphasizes in-depth technical solutions, mentorship, and cross-team collaboration, with the opportunity to impact global products while advancing your expertise in AI

Qualifications

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

Generation (text/image/video/audio)

Education

Bachelor's degree or equivalent

Master's degree or PhD in CS or related field

Job description

Google Sunnyvale seeks a software engineer to drive GenAI initiatives, deploy and optimize ML infrastructure, and contribute to scalable systems across the Google Cloud platform. You will work on projects spanning information retrieval and AI-powered features, collaborating with engineers, researchers, and product teams.

The role emphasizes in-depth technical solutions, mentorship, and cross-team collaboration, with the opportunity to impact global products while advancing your expertise in AI