Job details
Bachelor of Technology/Engineering (Computers), Master of Technology/Engineering (Computers) Nationality: Any Nationality Vacancy: 1 Vacancy Job Description 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 pave the 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.
- Experience in building machine learning models for business applications
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python, or related languages
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc.
- Experience with large scale distributed systems such as Hadoop, Spark, etc.
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Hiring company
Amazon Middle East and North Africa FZ-LLC
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