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

About the role

MINIMUM 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., 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.

PREFERRED QUALIFICATIONS:

• 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.

ABOUT THE JOB:

Google Cloud’s mission is to make every business successful through AI by

combining cutting-edge technology, infrastructure, and talent. AI/ML software

engineers in Cloud bridge the gap between pioneering models and a massive

product vehicle reaching billions. Our talent density and AI-powered tools drive

rapid development, rooted in a culture of empowerment and a bias to action. In

this role, you aren’t just building technology; you’re shaping the frontier of

enterprise and driving the evolution of advanced models.

As a Senior Software/Machine Learning (ML) Engineer in the Gemini Enterprise

team, you will be at the heart of the generative Artificial Intelligence (AI)

revolution. You won't just be testing models; you will be engineering the

systems that define the intelligence, reliability, and helpfulness of Gemini

Enterprise for millions of enterprise users. You will architect automated

evaluation frameworks, design optimization algorithms, and solve technical

issues at the intersection of Large Language Models (LLMs) and enterprise-grade

software.

Google Cloud accelerates every organization’s ability to digitally transform its

business and industry. We deliver enterprise-grade solutions that leverage

Google’s cutting-edge technology, and tools that help developers build more

sustainably. Customers in more than 200 countries and territories turn to Google

Cloud as their trusted partner to enable growth and solve their most critical

business problems.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

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 Generative Artificial Intelligence (GenAI) solutions,

leverage Machine Learning (ML) infrastructure, and evaluate tradeoffs between

different techniques and their application domains.