8 days ago
Base Salary
$320k - $405k/yr
Responsibilities
- Architect and implement Android applications.
- Develop novel solutions leveraging AI technologies.
- Optimize performance across the mobile stack.
- Champion best practices in mobile development and maintain a high-quality app experience.
- Collaborate with engineering, research, design, product, and cross-functional teams.
- Contribute to backend systems as needed.
- Provide mentorship and communicate effectively with teammates and partners.
Requirements
- Expertise in Kotlin, Jetpack Compose, the Android SDK, and the broader Android ecosystem.
- Proficiency with current mobile platform capabilities and intricacies.
- Practical full-stack development experience and comfort with backend technologies.
- A track record of shipping impactful, high-adoption mobile applications.
- Strong communication and mentorship skills.
- Bachelor’s degree or an equivalent combination of education, training, and experience in a relevant field demonstrated through coursework, training, or professional experience.
- Preferred: experience building successful products from 0 to 1 in early-stage environments.
- Preferred: experience building applications using modern ML/AI technology.
- Preferred: experience with 3D graphics, visual effects, or mobile audio and video streaming.
Benefits
- Annual base salary range of $320,000—$405,000 USD.
- Hybrid work policy requiring staff to work from an office at least 25% of the time, with some roles requiring more office time.
- Visa sponsorship may be available, supported by an immigration lawyer.
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- Collaborative office space.
Tech Stack
Categories
Mobile
About Anthropic
We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.