25 days ago
Base Salary
$130k - $400k/yr
Responsibilities
- Lead the architecture and development of Mercor's native Android application.
- Design, build, and ship high-quality Android applications using Kotlin and Jetpack Compose.
- Own major product initiatives end-to-end, from technical strategy to production launch.
- Define Android engineering standards, architecture patterns, testing strategy, and release quality.
- Collaborate closely with Product, Design, AI, Backend, and Infrastructure teams.
- Leverage modern AI development tools to accelerate engineering while maintaining quality.
- Optimize application performance, reliability, observability, and long-term maintainability.
- Mentor engineers and help establish a strong mobile engineering culture.
Requirements
- 5+ years of professional Android software engineering experience.
- Strong expertise in Kotlin and Jetpack Compose.
- Experience shipping and maintaining production Android applications through the Google Play Store.
- Strong understanding of modern Android architecture, testing, debugging, and performance optimization.
- Demonstrated experience making architectural decisions and driving technical direction across projects.
- Fluent in using modern AI software development tools to improve engineering productivity.
- Excellent software engineering fundamentals and product judgment.
- Experience mentoring engineers and raising the technical bar across a team.
- High ownership, strong communication skills, and a bias toward shipping.
Benefits
- Bi-annual performance bonus structure.
- Generous equity grant vested over 4 years.
- Up to $15k relocation bonus.
- $10K housing bonus if you live within 0.5 miles of our office.
- $1.5K monthly stipend for meals.
- Free Equinox membership.
- $200 monthly laundry reimbursement.
- $200 monthly personal wellness reimbursement.
- Health, Dental, Vision insurance.
Tech Stack
Jetpack ComposeKotlin
Categories
Mobile
About Mercor
We find the best experts in every professional domain and put their knowledge to work training frontier models. Through APEX, we measure whether those models can actually perform economically valuable work. We're also bringing that expertise to enterprises: deploying custom AI agents, staffing teams with vetted domain experts, and helping organizations encode their own knowledge into AI systems.