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

Google; Town of Montana (WI); On-site; USD 174,000 - 252,000; Full time

Job summary

Google Cloud is hiring a Senior Software ML Engineer for the Gemini Enterprise team. You will help build and scale GenAI-enabled platforms, shaping the intelligence, reliability, and usability of Gemini Enterprise for millions of enterprise users.

You will architect evaluation frameworks, design optimization algorithms, and solve complex ML problems at scale. You will collaborate across teams to drive production-grade GenAI solutions, leverage ML infrastructure, and ensure robust performance and

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 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 through design and code reviews to ensure best practices.
• Contribute to documentation and educational content and update content based on product changes and user feedback.
• Triage product or system issues and debug, track, and resolve them by analyzing impact across hardware, network, or service operations.
• Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between techniques.

Skills

Software development

GenAI technologies

GenAI concepts

Education

Bachelor's degree in CS or related field

Job description

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

Location: Google, Sunnyvale, CA, USA

Experience Level: Mid

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

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 Pay: $174,000 - $252,000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

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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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, colour, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Locations

• Google, Sunnyvale, CA, USA
• Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.