Applied Scientist, Alexa Edge AI
Core
Design, develop, and deploy state-of-the-art machine learning models for computer vision, audio processing, and multimodal semantic understanding for edge and cloud deployment in unified multimodal intelligence systems.
Role type
Senior Applied Scientist (Multimodal AI / Edge AI)
Builds
Resource-efficient multimodal AI models for perception and semantic understanding applications on devices like Echo Show series
Domain
Consumer Electronics / Multimodal AI / Edge Computing
Deliverable
production ML models
Required skills
Deep learning model design, computer vision algorithms, audio/speech processing, multimodal semantic fusion, end-to-end ML lifecycle ownership, distributed training, model optimization (pruning, quantization, distillation), Java/C++/Python programming
Preferred skills
PhD in relevant field, publications at top-tier ML/CV/Audio conferences, experience with model compression and inference optimization, ability to define technical roadmaps independently
Technologies
Python, Java, C++, Deep Learning Frameworks
Responsibilities
Design and build deep learning models for CV, audio, and multimodal fusion; own the full ML lifecycle from data strategy to deployment; research and apply SOTA techniques; mentor team members and establish technical practices
Seniority
Senior, hands-on IC with founding member responsibilities
