We're a well-funded stealth startup backed by a proven unicorn founder, building the next generation of AI-powered consumer hardware. We're assembling a small, elite team to create revolutionary products that integrate cutting-edge voice, vision, and AI technologies. If you're excited about building computer vision systems from the ground up and shipping world-changing technology—we'd love to talk.
The Role
Join as one of our first AI engineers to build the computer vision pipeline that powers our device. You'll work directly with founders who've built unicorn companies and know how to ship fast. This is computer vision at its finest—real-time object detection, scene understanding, and visual AI that needs to work flawlessly in people's homes.
What You'll Do
- Build real-time computer vision and object detection systems
- Implement and optimize YOLO, VideoMAE, and similar CV models
- Work with Vision Language Models (VLMs) for multimodal AI experiences
- Deploy and optimize models for edge inference on consumer hardware
- Integrate computer vision with our broader AI system and device capabilities
- Performance tuning for real-time video processing constraints
- Build visual AI features that understand and respond to the user's environment
Requirements
- 4+ years experience with computer vision and deep learning
- Strong Python and/or C++ programming skills
- Hands-on experience with YOLO, VideoMAE, or similar CV architectures
- Experience with Vision Language Models and multimodal AI systems
- ONNX model deployment and optimization experience
- NVIDIA CUDA development for CV applications
- Track record of shipping real-time computer vision products
- PyTorch, TensorFlow, OpenCV, or similar CV frameworks
Why Join
- Build an ambitious product with real-world impact from prototypes to mass production
- Work with founders who've built unicorn companies and know how to ship fast
- Competitive compensation, equity, and the chance to shape the product—and the company
- Small empowered team. No bureaucracy. Big upside.
Ready to build the future of visual AI? Send us your resume and examples of your computer vision work.
