Staff Software Engineer, AI/ML GenAI, Google Workspace

Responsibilities

• Design, develop, test, deploy, maintain, and enhance large scale software solutions.
• 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.
• 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 software solutions. - 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. - Lead the design of GenAI solutions, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies.

Minimum qualifications:

Preferred qualifications:

Qualifications

• Minimum qualifications: - Bachelor’s degree or equivalent practical experience. - 8 years of experience in software development. - 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). - 5 years of experience testing, and launching software products. - 3 years of experience with software design and architecture. - 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). Preferred qualifications: - Master’s degree or PhD in Engineering, Computer Science, or a related technical field. - 8 years of experience with data structures/algorithms. - 3 years of experience in a technical leadership role leading project teams and setting technical direction. - 3 years of experience working in an organization involving cross-functional, or cross-business projects.