GenAI ML Engineer III: AI/ML Systems & Deployment

Google LLC; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google LLC is seeking software engineers to advance GenAI capabilities within Google Ads, focusing on end-to-end ML deployment, large-scale system design, and privacy-conscious data processing. You will work across teams with access to Gemini and other cutting-edge AI technologies.

The role emphasizes collaboration, fast-paced innovation, and opportunities to contribute to products used by billions of users worldwide. Interview process often includes in-person steps.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience programming in Python or C++.
• 1 year of experience with end-to-end Machine Learning (model deployment, evaluation, 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 through design and code reviews to ensure best practices and code quality.
• Contribute to existing documentation or educational content and update content based on product/program updates and user feedback.
• Triage product or system issues and debug/resolve by analyzing sources and 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 or C++ programming

End-to-end ML experience

GenAI concepts

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in Computer Science

Job description

Google LLC is seeking software engineers to advance GenAI capabilities within Google Ads, focusing on end-to-end ML deployment, large-scale system design, and privacy-conscious data processing. You will work across teams with access to Gemini and other cutting-edge AI technologies.

The role emphasizes collaboration, fast-paced innovation, and opportunities to contribute to products used by billions of users worldwide. Interview process often includes in-person steps.