Senior GenAI ML Engineer - Enterprise AI Systems

Google; Sunnyvale (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google Cloud’s Gemini Enterprise Senior Software ML Engineer in Sunnyvale, CA will help shape enterprise AI capabilities by building GenAI-powered systems and evaluation frameworks for scalable deployment.

You’ll architect optimization algorithms, integrate with LLM infrastructure, and tackle challenges at the intersection of GenAI and enterprise software, delivering reliable solutions for millions of users.

Qualifications

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
• 5 years of experience in software development with one or more programming languages.
• 2 years of experience with core Generative Artificial Intelligence (GenAI) technologies (e.g., LLMs, RAG, Agents) or model training/post-training.
• 1 year of experience with GenAI concepts such as language modeling or computer vision.

Responsibilities

• Lead the technical development of agentic features to transform enterprise productivity.
• 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, and resolve them by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.

Skills

GenAI technologies

Programming languages

Mentoring

Education

Bachelor’s degree in Computer Science or related field

Master’s or PhD preferred

Tools

Python

C++

Job description

Google Cloud’s Gemini Enterprise Senior Software ML Engineer in Sunnyvale, CA will help shape enterprise AI capabilities by building GenAI-powered systems and evaluation frameworks for scalable deployment.

You’ll architect optimization algorithms, integrate with LLM infrastructure, and tackle challenges at the intersection of GenAI and enterprise software, delivering reliable solutions for millions of users.