- Employment
- Full-time
- Seniority
- Junior
About the role
About Us
Viggle AI is a startup backed by top-tier investors such as a16z and TSFV. We're at the forefront of the GenAI revolution, building the foundation model for the world — and the products that put it in everyone's hands, from first-time meme makers to professional studios.
The result is one of the most loved creative platforms in AI: over 40 million users, one of the largest communities on Discord, and creators spanning Hollywood professionals to TikTokers. Behind it is a Toronto-based team that lives by one principle — serious tech, silly fun.
About the job
"Learning fast is an engineer's superpower in the AI era."
At Viggle, you won't be boxed into a role label. We hire for engineering judgment and the ability to learn fast — across our App, PINOC, Games, API, and the infrastructure behind them, the same person might touch a generation pipeline, a real-time rendering path, and the product surface a creator actually sees. As an intern or co-op, you'll own real work that ships, not side projects.
What We're Looking For
Tell us what you love building, and we'll find the surface that fits. Here's where you'd likely land:
🎬 Viggle App — Consumer, mobile & web The product 40M+ creators actually touch — fast generation flows and real-time editing. You: React Native or React/Next.js + TypeScript, with a love for performance and polish.
🦴 PINOC — AI motion capture & 3D pipeline Turn any footage into skeletal animation, exported to FBX/GLB for real 3D pipelines. You: 3D graphics (Three.js/WebGL), rigging/retargeting, pose estimation/CV, glTF/FBX, Python.
🎮 Viggle Games — Real-time interactive 3D Playable, multiplayer experiences built on generative 3D, like Fight Anyone 3D. You: game engines (Unity/Unreal) or WebGL, multiplayer netcode, react, node.
⚙️ Viggle API — Developer platform & inference infra The platform other developers and AI agents build on — any motion in one call. You: Go, Python, backend/distributed systems, inference serving & GPU orchestration, API design, Go/Python/Rust.
🛠️ Infrastructure & ML Systems — Training, inference & data The backbone behind every model — training, inference, and the data they learn from. You: ML infra/MLOps, model optimization, distributed training & GPU orchestration (CUDA/PyTorch/Ray), data pipelines.
Not sure which track? That's fine — strong fundamentals of travel, and our engineers move across these areas as projects demand. Just tell us what you're best at and what you want to learn next.
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