Sr Applied Scientist

1 month ago


Dubai, United Arab Emirates myGwork - LGBTQ+ Business Community Full time


What will you do?

  • 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.

We are open to hiring candidates to work out of one of the following locations:

Sunnyvale, CA, USA

Basic Qualifications

  • 3+ years of building machine learning models for business application experience
  • PhD, or Master's degree and 6+ years of applied research experience
  • Experience programming in Java, C++, Python or related language
  • Experience with neural deep learning methods and machine learning

Preferred Qualifications

  • 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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