Staff AI Engineer - Health, Generative UX & Systems

Google LLC

Mountain View (CA)

Sur place

USD 207 000 - 300 000

Plein temps

Il y a 5 jours
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Résumé du poste

Google Health seeks a Staff Software Engineer in Mountain View to advance health tech with scalable ML systems and AI-driven products. You will own critical architecture across large-scale features and collaborate across teams to push the frontier of health information processing.

The role emphasizes leadership in design, testing and deployment of ML-enabled services, with a focus on robust, measurable outcomes for billions of users worldwide.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of software development experience.
  • 5 years testing and launching software products; 3 years in design/architecture.
  • 5 years with ML design, ML infrastructure, or related ML field.
  • Experience with Generative AI.

Responsabilités

  • Design and implement a unified, flat agentic architecture driven by tools and skills for proactive wake-ups and reactive user interactions.
  • Lead engineering execution using spec-driven development with AI to keep code, rules, and design in sync.
  • Build and scale evaluation and simulation frameworks to test multi-turn conversations with synthetic data.
  • Collaborate with Product, UX and frontend engineers to enable server-driven generative UX and dynamic UI components.

Connaissances

Software development experience
Generative AI
Speech/Audio & ML infra
ML design & infrastructure

Formation

Bachelor’s degree or equivalent practical experience
Master’s degree or PhD in Engineering or CS

Description du poste

Google Health seeks a Staff Software Engineer in Mountain View to advance health tech with scalable ML systems and AI-driven products. You will own critical architecture across large-scale features and collaborate across teams to push the frontier of health information processing.

The role emphasizes leadership in design, testing and deployment of ML-enabled services, with a focus on robust, measurable outcomes for billions of users worldwide.

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