Senior GenAI Platform Quality Engineer

Google LLC; New York (NY); On-site; USD 262,000 - 364,000; Full time

Job summary

Google LLC is seeking a Senior Staff Software Engineer for Generative AI in the Workspace Quality domain, based in Sunnyvale, CA and New York, NY. You will lead technical initiatives across Workspace AI features, shaping the next generation of content creation, consumption, and collaboration tools.

The role requires strong leadership, experience with GenAI concepts, and the ability to influence cross-functional teams to deliver high-impact ML-driven capabilities at scale.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years of experience leading technical project strategy, ML design, and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience with design and architecture; and testing/launching software products.
• 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Responsibilities

• Provide technical leadership on projects.
• Influence and coach a distributed team of engineers.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
• Manage project priorities, deadlines, and deliverables.
• Integrate model capabilities into Workspace products and drive horizontal improvements for launched features.

Skills

Technical leadership

Decision making

Ambiguity handling

Stakeholder influence

Domain expertise

Education

Bachelor's degree

Master's degree or PhD

Job description

Google LLC is seeking a Senior Staff Software Engineer for Generative AI in the Workspace Quality domain, based in Sunnyvale, CA and New York, NY. You will lead technical initiatives across Workspace AI features, shaping the next generation of content creation, consumption, and collaboration tools.

The role requires strong leadership, experience with GenAI concepts, and the ability to influence cross-functional teams to deliver high-impact ML-driven capabilities at scale.