Senior ML Engineer, AI-Driven SDLC Quality

Google's software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a Senior Machine Learning Engineer on the CodeAI team, you will be instrumental in conceptualizing, developing, and scaling AI-driven agents and workflows that enhance software quality across Google's Software Development Life Cycle (SDLC). You will leverage your expertise in machine learning, agentic systems, and software engineering to build intelligent solutions that proactively identify risks, automate validation, and ultimately help Googlers build better software faster. You will require a blend of strong technical skills, a passion for innovation, and the ability to collaborate effectively across teams to integrate these transformative AI capabilities into the core developer experience.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Design and implement robust agents and LLM-powered journeys that evaluate, gate, and improve engineering artifacts.
• Engineer and refine skills and context provided to the AI agents, enhancing their capabilities, reasoning and accuracy.
• Drive agent quality through online/offline evaluation frameworks, dataset development, and iterative optimization.
• Strengthen and scale core agent infrastructure for robustness, security, and reliability.
• Partner with Product Areas to understand their unique requirements and integrate high-impact agentic quality solutions into developer workflows. Collaborate with product teams to integrate the agentic solutions.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with Large Language Modeling (LLM).
• 3 years of experience with generative AI Agents.

Preferred qualifications:

• Master's degree or PhD in Computer Science, or a related technical field.
  
• 5 years of experience with Python.
• 5 years of experience with Machine Learning.