Senior Machine Learning Engineer, GenAI, Google Cloud

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.

Responsibilities not listed.

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in ML engineering including production environments.
• 5 years of experience in software development, including experience in software design, architecture, and shipping production-grade systems.
• 3 years of experience leading technical project strategy and ML design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• Experience in testing and launching scalable software products.

• Design and build ML pipelines.
• Evaluate, integrate, and optimize ML models and agentic workflows.
• Lead the design of genAI solutions, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies.
• Design, develop, test, deploy, maintain, and enhance large-scale AI-powered platforms and applications.
• Provide technical leadership on high-impact projects.
• Manage project priorities, deadlines, and deliverables.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
• Influence and coach a distributed team of engineers.

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.