What you'll build
- A playable game where gesture interaction is the core mechanic, not a novelty input mode pasted on top.
- A low-latency recognition loop that maps hand movement into responsive gameplay.
- Calibration, feedback, and fail-state handling so the game remains usable in messy real-world environments.
- A technical base that could expand into a reusable gesture-recognition platform over time.
What you'll do
- Own the prototype across game loop, recognition pipeline, UX feedback, and on-device performance.
- Make smart tradeoffs between model quality, latency, battery, and actual game feel.
- Test the experience quickly with real players and learn where delight or frustration shows up.
- Build the first product wedge while keeping an eye on what could become platform IP.
- Work with AI Fund's build team on gameplay scope, technical feasibility, and expansion paths.
What you need
- Experience in computer vision, on-device ML, pose or gesture recognition, or mobile game development.
- Strong engineering ability across inference pipelines, UX responsiveness, and real-time system constraints.
- A feel for interaction design and what makes a game mechanic fun rather than technically clever.
- The ability to ship rough but playable prototypes quickly.
- You know how to use AI coding assistants and modern AI tools to accelerate implementation without shipping brittle game logic.
Helpful but not required
- Experience with Unity, Unreal, CoreML, TFLite, MediaPipe, AR, or motion capture systems.
- Experience shipping mobile games or highly interactive consumer products.
- Experience optimizing real-time pipelines for noisy camera input.
Compensation
$10,000/month for 12 weeks ($30,000 total). This is a contract role during the residency. If the build leads to a funded company, the next step is a founder-level role with meaningful equity upside.