About Us We're building the next generation of AI-powered consumer devices. Founded by a proven unicorn founder, we're well-funded and creating products that will fundamentally change how people interact with technology in their homes.

The Role We're seeking an AI Engineer to develop and optimize machine learning models for our consumer device platform. You'll work on cutting-edge problems in speech recognition, natural language understanding, and multimodal AI systems.

What You'll Build

Train and optimize LLM or Classifier models for intent classification and natural language understanding
Develop on-device speech recognition and audio processing pipelines
Build on-device video understanding processing pipelines
Build context-aware AI systems that understand user behavior and preferences
Create real-time inference engines optimized for edge deployment
Design and implement active learning systems for continuous model improvement

Requirements Must Have:

3+ years experience training and deploying ML models in production
Strong background in NLP, speech processing, or computer vision
Experience with transformer architectures
Proficiency in Python, PyTorch/TensorFlow, and MLOps tools
Track record of optimizing models for edge/mobile deployment

Nice to Have:

Experience with on-device ASR/TTS systems
Work with Rust/Javascript
Consumer electronics or smart home device experience
Edge AI optimization (quantization, pruning, distillation)
Real-time streaming audio/video processing

Tech Stack: Rust, Javascript, Python, PyTorch, Transformers, ONNX, TensorRT, AWS/GCP, Docker, Kubernetes

Why Join

Ground floor opportunity at well-funded startup with proven leadership
Work on novel problems in multimodal AI and edge computing
Competitive equity package with significant upside potential
Small team where your work directly impacts product success

Location: Redwood City, Bay Area.

Stealth Company

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