Lead Engineer, Shopping Graph Core Data

Google Inc.; Zürich; Vor Ort; CHF 300.000 - 420.000; Vollzeit

Zusammenfassung

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search.

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

Qualifikationen

• 15 years of experience in software architecture.
• 12 years of experience in machine learning architecture.
• 5 years in a technical thought leader role.

Aufgaben

• Set the technical vision and design the next-generation data infrastructure to support this AI transition, ensuring the scale, resilience, and rich feature set that clients depend on.
• Enable fast iterations on Shopping Graph quality through data-driven decision-making supported by robust evaluation framework and frictionless experimentation.
• Collaborate closely with cross-product area partners (Search, Ads, YouTube, GDM) to leverage their expertise and infrastructure, translating state-of-the-art techniques into tangible, real-world product impact.
• Work with other engineering leads, PMs, and executives to identify areas for further improvement in Shopping Graph, ensuring all relevant domains align seamlessly.
• Guide and mentor senior developers and technical leads, elevating the overall technical competency of the organization.

Kenntnisse

Software architecture

ML architecture

Technical leadership

Jobbeschreibung

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search.

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