Staff Software Engineer - AI/ML Platform & Ads

Google; Kirkland (WA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Health insurance

Retirement plan with company match

Paid time off

Sick time

Maternity leave

Baby bonding leave

Paid holidays

Job summary

Google Software Engineers on the Ads Enterprise Platform team build next-generation, cross-channel ads buying platform using generative AI. You will shape multi-agent systems, model retraining, persona forecasting, and Cloud integration, collaborating with senior leads across the Ads org.

As part of Google Ads, you will influence design decisions, data processing and AI features to deliver measurable results for advertisers and agencies, with opportunities to switch teams as the business grows.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of software development experience.
• 5 years testing and launching software products; 3 years design/architecture.
• 5 years ML design and ML infrastructure experience.
• Experience in prompt engineering, or multi-agent systems.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

• Drive the long-term engineering strategy, incorporating organizational priorities and AI shifts.
• Own key technical decisions to guide design tradeoffs.
• Improve the organization’s technical health by removing productivity barriers.
• Work cross-functionally to align Ads platforms while benefiting the overall business.
• Grow the next generation of technical leaders through coaching and mentorship.

Skills

Software development

Testing

Design and architecture

ML design/infrastructure

Prompt engineering

Generative AI integration

Education

Bachelor’s degree or equivalent practical experience

Master’s/PhD in Engineering/CS

Job description

Google Software Engineers on the Ads Enterprise Platform team build next-generation, cross-channel ads buying platform using generative AI. You will shape multi-agent systems, model retraining, persona forecasting, and Cloud integration, collaborating with senior leads across the Ads org.

As part of Google Ads, you will influence design decisions, data processing and AI features to deliver measurable results for advertisers and agencies, with opportunities to switch teams as the business grows.