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# Senior Software ML Engineer, AI/ML GenAI, Gemini Enterprise

- **Company:** Google LLC
- **Location:** Sunnyvale, CA, United States
- **Experience:** Expert
- **Salary:** $174,000.0 - $252,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, C++ (Programming Language), Software Debugging, Python (Programming Language), Machine Learning, Language Modeling, Gemini Enterprise (Agent Platform), Software Engineering, Large Language Models, Generative AI, Information Technology, Programming Languages
- **Published:** October 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=eeac8eec2d4f352f

## About the Role

* 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., Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agents) or model training/post-training.
 * 1 year of experience with GenAI concepts such as language modeling or computer vision., * Master's degree or PhD in Computer Science or a related technical field.
 * Experience in machine learning modeling and tech leadership roles.
 * Proficiency in Python, C++.
 * Experience building production-grade LLM-based applications and working with Google internal infrastructure.
 * Track record of innovation and critical thinking in solving technical problems.

## Description

* 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 Generative Artificial Intelligence (GenAI) solutions, leverage Machine Learning (ML) infrastructure, and evaluate tradeoffs between different techniques and their application domains.