
Applied Scientist, SSG Science
3 weeks ago
Key job responsibilities
Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms
Fundamentally understand Amazon's underlying Neural Edge Engine to invent optimization techniques
Analyze deep learning workloads and provide guidance to map them to Amazon's Neural Edge Engine
Use first principles of Information Theory, Scientific Computing, Deep Learning Theory, Non Equilibrium Thermodynamics
Train custom Gen AI models that beat SOTA and paves path for developing production models
Collaborate closely with compiler engineers, fellow Applied Scientists, Hardware Architects and product teams to build the best ML-centric solutions for our devices
Publish in open source and present on Amazon's behalf at key ML conferences - NeurIPS, ICLR, MLSys.
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Bachelor's degree in computer science, electrical engineering, or related field
- Strong foundation in related mathematical concepts (e.g. linear algebra, calculus, etc.)
PREFERRED QUALIFICATIONS
- Experience in professional software developmentPrior experience in productionizing ML models and managing their full lifecycle from development to deployment
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
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