Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• 5 years of experience with data structures and algorithms.

About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers 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 engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers 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.

The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, Customer Experience Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), and other domain packaged solutions. We deliver new 0-to-1 capabilities with startup agility at the forefront of AI, collaborating directly with model builders. Join us to shape the future of AI in a fast-paced, collaborative environment.

Responsibilities

• Develop and implement investigative tools for AI Agent performance.
• Design and build recommendation systems for AI Agents.
• Develop skill discovery and matching capabilities for AI Agents.
• Manage stakeholders effectively and solve ambiguous technical challenges, contributing to the overall strategy and road map for the team.
• Provide coaching to your team, and contribute to Google's culture and operations.