Applied Science Manager, Alexa Edge AI
Core
Lead a new team in Bangalore to pioneer edge AI for computer vision, acoustic modeling, and multimodal semantic understanding powering Alexa devices.
Role type
Senior Applied Science Manager (Edge AI)
Builds
Resource-efficient multimodal AI models for perception (vision, audio, speech) on edge devices
Domain
Consumer electronics / Edge AI / Multimodal Learning
Deliverable
production ML models
Required skills
Computer vision, Acoustic/speech modeling, Multimodal learning, Team building, R&D strategy, Edge deployment optimization, Stakeholder management
Preferred skills
Building high-performance teams, Multimodal LLMs, On-device ML optimization, Top-tier conference publications
Technologies
Custom silicon, DSPs, NPUs
Responsibilities
Establish and grow a new applied science team from scratch, Recruit and mentor scientists in CV/speech/multimodal ML, Drive R&D for privacy-preserving edge solutions, Optimize latency/privacy/accuracy/cost, Collaborate with hardware teams on AI accelerators, Own end-to-end lifecycle from research to production deployment
Seniority
Senior, hands-on IC with people leadership
