Senior Machine Learning Engineer, GenAI, Google Cloud

Google develops next-generation technologies impacting billions of users globally. The ML, Systems, & Cloud AI (MSCA) organization designs and manages hardware, software, machine learning, and systems infrastructure for Google services and Google Cloud, including Vertex AI, a leading AI platform.

• 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 software design, architecture, and shipping production-grade systems.
• 3 years of experience leading technical project strategy and ML design and optimizing ML infrastructure.
• Experience in testing and launching scalable software products.
• Master's degree in Computer Science or other technical field (preferred).
• 3 years of experience in a technical leadership role leading project teams and setting technical direction (preferred).
• 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects (preferred).
• Experience with generative AI techniques (e.g., LLMs, multimodal, large vision models) or related concepts (e.g., evaluations, language modeling, computer vision) (preferred).

• Design and build machine learning (ML) pipelines.
• Evaluate, integrate, and optimize ML models and agentic workflows.
• Lead the design of generative AI solutions and optimize ML infrastructure.
• Guide 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 an equal opportunity workplace and affirmative action employer committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Qualified applicants are considered regardless of criminal histories, consistent with legal requirements. Accommodations for applicants with disabilities are available upon request.