Published on
May 16, 2023
Full-time / Internship
About TwinMind
We're on a mission to give every human superintelligence and perfect memory. Our first product is a personalized "second brain", an AI twin powered by everything you see and hear, that learns with you, remembers your entire life, and helps proactively before you even ask.
Our co-founders are AI scientists who have built moonshots at Google X, deployed production systems with over $1 billion revenue impact on Wall Street, and contributed to a Nobel Prize-winning discovery.
We have raised funding from some of Silicon Valley's most influential venture capitalists, including the earliest investors in Facebook, Robinhood, and Zapier.
We are seeking brilliant, ambitious minds who are passionate about pushing the limits of AI to make a dent in the universe.
Job Overview
At TwinMind, you'll be working alongside experts in AI research, engineering, design, product, and marketing. You will be expected to experiment boldly, explore innovative solutions, and contribute to cutting-edge product development in a fast-paced, high-impact environment. We want to hire self-starters who want to get their hands dirty, learn whatever it takes, and produce results fast.
Exceptional candidates will have the chance to join TwinMind full-time as one of the first ten founding members with significant equity.
What We're Looking For
Strong experience in Android development with Kotlin or React Native
Skilled at building beautiful frontends using Jetpack Compose (Kotlin) or React Native UI libraries (e.g., React Native Paper, NativeBase)
Familiar with data storage and synchronization using Room (Kotlin), SQLite, Firebase, or AsyncStorage (React Native)
Knowledge of Android best practices for performance optimization and battery efficiency
Passion for creating clean, efficient, and well-documented code
Ability to work in a fast-paced startup environment and adapt quickly to changing requirements
Bonus Skills
Experience with natural language processing or speech recognition systems
Familiarity with TensorFlow Lite, ML Kit, and on-device AI
Experience with background services, foreground services, and Android app lifecycle management
