Staff ML & AI Systems Engineer (Generative AI)

Google; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information. This role focuses on scalable AI-driven systems and large-scale architectures, with opportunities to switch teams as projects evolve.

Google for Health applies this expertise to improve health outcomes globally, partnering with care teams and using AI for screening and diagnosis.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years experience testing, and launching software products, and 3 years experience with software design and architecture.
• 5 years experience with one or more of: Speech/audio, reinforcement learning, ML infrastructure, or related ML field.
• 5 years of experience with ML design and ML infrastructure (deployment, evaluation, data processing, debugging, fine tuning).
• Experience with Generative AI.

Responsibilities

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

Skills

Software development

Testing & launching software

ML design & infra

Generative AI

Speech/ RL / ML domain

Education

Bachelor’s degree or equivalent

Master’s degree / PhD (preferred)

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information. This role focuses on scalable AI-driven systems and large-scale architectures, with opportunities to switch teams as projects evolve.

Google for Health applies this expertise to improve health outcomes globally, partnering with care teams and using AI for screening and diagnosis.