Building AI models to understand human behaviors.
Team
Cheng Zhang
Founder & CEO
Associate Professor at Cornell University, with extensive experience leading teams to conquer real-world challenges using AI, sensing, and wearables. Ph.D. in Computer Science from Georgia Tech.
Mehrab Bin Morshed
Founding CTO
Former Staff Research Scientist at Samsung Research America, with experience building AI models with multi-modal sensing to understand human behavior and health conditions. Ph.D. in Computer Science from Georgia Tech.
Jiwan Kim
Founding Lead Engineer
Ph.D. in Electrical Engineering from KAIST, with extensive experience developing AI-powered wearable sensing systems.
Fangzheng Liu
Founding Hardware Engineer
Ph.D. candidate at MIT Media Lab, with extensive experience building lunar robotics, embedded hardware, and wireless sensor systems. Designed a miniature lunar robot for the IM-2 Moon mission and previously worked at CERN on AMS-02 space hardware for the International Space Station.
Jenny Wu
Hardware Engineer
Bachelor in Biomedical Engineering from University of Waterloo, with experience in hardware design, embedded systems, and custom PCB development.
We're Hiring
Founding ML Engineer
We are looking for a Founding ML Engineer in NYC to architect SOTA models (CV, NLP, or Multimodal) designed for "the wild." This role is unique: you won't just build architectures; you'll engage with real-world data and design cutting-edge ML models accordingly.
- The Focus: Develop near-real-time AI models for multi-model time-series sensor data.
- The Experience: Strong PyTorch/TF skills + a track record of deploying live production models.
- The Perks: Founding-level equity, competitive salary, top-tier VC backing, and a "Zero to One" mission.
💵 Salary: $160K - $180K
📍 Location: In-person, New York City
Apply: ML Engineer →Data Collection and Operations Intern
We are looking for a Data Collection and Operations Intern in NYC to help lead and coordinate real-world data collection. This role sits between users, operations, and the ML team, making sure high-quality data is collected smoothly, organized well, and ready for model training.
- The Focus: Plan and run data collection sessions with real users, including scheduling, logistics, protocols, and quality checks.
- The Experience: Current Bachelor's or Master's student with strong organization skills, Python/SQL experience, and comfort with messy real-world data.
- The Work: Maintain scripts, tooling, datasets, labels, and metadata so the ML team can train on clean, reliable data.
💵 Rate: $30-45/hour
📍 Location: In-person, New York City
Apply: Operations Intern →