Applied Science Manager – Alexa Edge AI (Bangalore)

About the role

We are seeking a seasoned Applied Science Manager to build and lead a brand‑new Alexa Edge AI team in Bangalore. You will drive cutting‑edge research in computer vision, acoustic modeling and multimodal understanding that powers millions of Alexa‑enabled devices.

Key responsibilities

• Define the charter, culture and technical roadmap for a high‑impact applied science team.
• Recruit, mentor and develop scientists and engineers across computer vision, speech/acoustics and multimodal ML.
• Lead R&D of privacy‑preserving edge solutions, optimizing latency, accuracy and cost for custom silicon, DSPs and NPUs.
• Co‑design next‑generation AI accelerators and model architectures with hardware teams.
• Own the end‑to‑end lifecycle from research ideation to production deployment at scale.
• Establish benchmarking, A/B testing and metrics frameworks to quantify real‑world impact.
• Collaborate with product, engineering and UX teams to translate breakthroughs into customer experiences.
• Represent the team in org‑wide science reviews, patent filings and top‑tier publications.

Required profile

• Proven experience building and leading high‑performing applied science or research teams.
• Strong track record of publishing in top venues (NeurIPS, CVPR, ICML, ICASSP).
• Customer‑obsessed mindset with ability to turn scientific ideas into market‑ready solutions.
• Excellent communication and cross‑functional collaboration skills.

Required skills

• Computer vision research and development.
• Speech and acoustic modeling, including wake‑word detection.
• Multimodal machine learning and semantic understanding.
• Edge AI optimisation for resource‑constrained hardware (custom silicon, DSPs, NPUs).
• Benchmarking, A/B testing and performance metrics.
• Co‑design of AI accelerators and model architectures.