The Staff Software Engineer, ML Quality, Applied AI role at Google focuses on developing advanced technologies that enhance customer experiences through AI. The position is part of the Agent Optimization and Augmentation team, which aims to create multimodal full-stack concierge agents capable of complex reasoning. Engineers in this role will work closely with foundational AI technologies like Gemini and Vertex AI to optimize agent development processes. This position offers the opportunity to collaborate with model builders and engage with high-profile clients.

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with speech/audio technology, reinforcement learning, ML infrastructure, or another ML field.
• 5 years of experience testing and launching software products.
• 5 years of experience leading ML design and optimizing ML infrastructure.
• 3 years of experience with software design and architecture.

• Build the core logic for multimodal full-stack concierge agents that execute complex reasoning across sales and support.
• Develop automated systems and tools that allow agents to iteratively build, test, and refine other agents.
• Architect the pathways that embed Gemini and Vertex AI intelligence directly into client-facing Cloud infrastructure.
• Establish engineering benchmarks to replace manual trial-and-error testing with automated, high-fidelity optimization.
• Partner with Cloud clients to identify bottlenecks and deploy rapidly customizable agent solutions.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.