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

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

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

Google

Sunnyvale, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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.

The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

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.

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.

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