Sr. Applied Scientist, SSG Science
Amazon Web Services (AWS) (company site, opens in a new tab)4+ yrsBengaluruOn-siteDirect career pageEst. 35–60 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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.
Ideal Candidate Profile
- 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.