Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 2 years of experience with android application development.
- 2 years of experience with software development in Kotlin programming language.
Preferred qualifications:- Master's degree or PhD in Computer Science or a related technical field.
- 2 years of experience with data structures and algorithms.
- Familiarity with on-device model serving (AICore) or Large Language Model orchestration.
- Understanding of PII masking and navigating privacy reviews for communication data.
About the jobThe Calling (Dialer) Protection team's mission is to make every call valuable by leveraging on-device AI to shield billions of users from harm. We are currently executing a permanent mindset shift, transitioning our ecosystem safety strategy from Pixel-exclusivity to an Android-wide shield. On the Protection Foundations team, you will be at the forefront of this 1B user expansion. Your mandate is to build the Best OS for Protection by modernizing our client infrastructure to support next-generation safety features like Scam Detection and Agentic Call Screen across the entire Android ecosystem.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $211000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Architect high-throughput reasoning pipelines to ensure real-time ML signals are delivered in minimal time, preventing conversational lag during live calls.
- Partner with OEM leaders to scale Google's AI protection suite to completely new user bases.
- Own the reliability of 19 Protection-owned P0 CUIs, ensuring they meet a >99.9% reliability and latency SLO.
- Implement the client-side logic to evolve Call Screen into an intelligent, Gemini-based partner. This involves managing narrow context windows and complex memory layers for on-device Gemini Nano models.
- Lead the transition of Protection architecture from legacy stacks to modern frameworks, specifically driving Kotlin adoption and deleting technical debt to accelerate engineering velocity.
