Staff Android ML Engineer - On-Device AI Agent

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

Benefits offered by this job

Equity

Benefits

Job summary

Google is seeking a Staff Software Engineer for the Android Agent to design, build, and optimize ML systems powering the next generation of on-device AI. You will translate ambiguous user needs into concrete ML challenges and lead end-to-end development across large, privacy-conscious data pipelines.

Ideal candidates have deep ML expertise, senior-level experience guiding projects, and the ability to influence stakeholders while delivering robust, scalable solutions for billions of users.

Qualifications

• Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders.
• Deep expertise in ML/domain across projects and teams.
• In-person interviews are part of the hiring process in most cases.

Responsibilities

• Design, build, and optimize end-to-end ML systems and models powering Android's next‑gen AI agent.
• Translate user needs into well-defined ML problems and innovative solutions.
• Architect data pipelines for large-scale training and fine-tuning datasets.
• Lead development and iteration of core ML models with emphasis on on-device performance and privacy.

Skills

Outcome ownership

Decision making

Ambiguity solving

Stakeholder influence

ML design

ML infrastructure

On-device ML

Privacy by design

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Engineering/CS

Job description

Google is seeking a Staff Software Engineer for the Android Agent to design, build, and optimize ML systems powering the next generation of on-device AI. You will translate ambiguous user needs into concrete ML challenges and lead end-to-end development across large, privacy-conscious data pipelines.

Ideal candidates have deep ML expertise, senior-level experience guiding projects, and the ability to influence stakeholders while delivering robust, scalable solutions for billions of users.