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

Socket.dev; Sunnyvale (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Bonus target 15%

Equity & benefits

Job summary

Google Cloud’s Gemini Enterprise team seeks a Senior Software/ML Engineer to shape enterprise AI at scale. You will design and implement GenAI features and ensure reliability across a multi-tenant platform used by millions of enterprise users.

You will architect evaluation frameworks, optimize algorithms, and collaborate with cross-functional partners through design reviews, code reviews, and documentation updates. This role offers exposure to cutting-edge AI with impact across industries.

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 (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.
• Contribute to existing documentation or educational content and adapt content based on product updates and user feedback.
• Triage product or system issues and debug, track, and resolve them by analyzing sources of issues and impact on hardware, network, or service operations.
• Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between techniques and domains.

Skills

Software development

GenAI technologies

GenAI concepts

Python

C++

Education

Bachelor’s degree in Computer Science or related field

Job description

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.

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.