AI-Native Senior Android Engineer — Growth Experiments

Life360

United States

On-site

USD 118,500 - 216,500

Full time

14 days+

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Benefits offered by this job

Competitive pay and benefits
Flexible PTO
Free Life360 Platinum Membership

Job summary

Cacheflow is hiring an AI-Native Senior Software Engineer II to join the Experimentation & ML Intelligence team. Your focus will be on designing and building Android growth features while collaborating with cross-functional teams. This senior role requires expertise in Android development and a commitment to leveraging AI in engineering workflows.

In your first year, you'll be responsible for successful end-to-end delivery of experiments, ensuring high-quality user experiences, and mentoring team members while evolving our AI-native practices.

Qualifications

  • 6+ years of Android software engineering experience shipping production apps.
  • Experience prompting, evaluating, and building with LLMs.
  • Strong proficiency with Kotlin and Jetpack Compose.

Responsibilities

  • Design and build Android growth features and experiments.
  • Partner with product and design teams for shippable experiments.
  • Mentor team members and contribute to standard practices.

Skills

Android software engineering experience
Hands-on experience prompting LLMs
Proficiency with Kotlin
Familiarity with Android toolchain
Experience with A/B testing
Solid grounding in performance diagnostics

Education

Bachelor's degree in a technical field

Tools

Android Studio
Gradle

Job description

Cacheflow is hiring an AI-Native Senior Software Engineer II to join the Experimentation & ML Intelligence team. Your focus will be on designing and building Android growth features while collaborating with cross-functional teams. This senior role requires expertise in Android development and a commitment to leveraging AI in engineering workflows.

In your first year, you'll be responsible for successful end-to-end delivery of experiments, ensuring high-quality user experiences, and mentoring team members while evolving our AI-native practices.

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