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Tier-1 brand, metro location, mid-level ML role increases competition among qualified applicants.
Role demands specialized ML research and edge optimization experience, limiting cross-industry transferability.
Requires advanced ML research background, PhD/Master's plus years, and productionization experience, so filters are strict.
Optimize and adapt Gen AI models for deployment on edge platforms, focusing on quantization, pruning, distillation, and fine-tuning.
Develop novel optimization techniques leveraging Amazon’s Neural Edge Engine and fundamental principles from information theory and deep learning.
Collaborate cross-functionally with hardware architects, compiler engineers, and product teams to deliver ML solutions for Amazon Devices, with contributions to open source and ML conferences.
3+ years experience building machine learning models for business applications.
PhD degree or Master's degree with 4+ years of applied research experience.
Proficient programming skills in Java, C++, Python, or related languages.
Experience in productionizing ML models including full lifecycle management from development to deployment.
Strong background in neural deep learning methods with ability to analyze and optimize deep learning workloads on specialized hardware.
Experience or understanding of modern inference optimization techniques such as Mixture-of-Experts (MoE) and Diffusion Models for Language Generation.
Comfortable working at the intersection of applied science and product development in a hardware-accelerated machine learning context.