Staff Software Engineer, Gen AI & ML Systems

Google; Mountain View (CA); On-site; USD 210,000 - 301,000; Full time

Job summary

Google is seeking a Staff Software Engineer for Photos Storytelling in Mountain View, CA. You will own outcomes, solve ambiguous problems, and influence stakeholders while shipping ML-enabled features and large-scale systems.

Responsibilities include prototyping with product and UX teams, integrating AI into systems, and delivering robust software in a fast-paced environment. Equal opportunity employer, strong collaboration across platforms.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development (C++, Java, Python, Kotlin, or Go).
• 5 years of experience building, testing, and shipping technical products or large-scale infrastructure/systems.
• 3 years of experience with software design and architecture.

Responsibilities

• Act as core engineering partner to product, UX, analytics, and privacy teams to prototype solutions, refine requirements, and launch new features.
• Design and integrate backend and AI technologies into system architectures, writing clean code to bring product experiences to life.
• Succeed in a dynamic environment by iterating on prototypes, managing technical uncertainties, and delivering software solutions.
• Contribute to a collaborative and supportive team environment that supports sustainable execution and shared goals.

Skills

8y software dev

Experience shipping large-scale infra

Software design & architecture

Education

Bachelor's degree or equivalent

Job description

Google is seeking a Staff Software Engineer for Photos Storytelling in Mountain View, CA. You will own outcomes, solve ambiguous problems, and influence stakeholders while shipping ML-enabled features and large-scale systems.

Responsibilities include prototyping with product and UX teams, integrating AI into systems, and delivering robust software in a fast-paced environment. Equal opportunity employer, strong collaboration across platforms.