About the Role

This senior applied scientist role focuses on developing and optimizing generative AI models for edge computing platforms at Amazon Devices. The position involves quantizing, pruning, and fine-tuning models while collaborating with hardware and software teams to build ML-centric solutions for consumer products.

Key Responsibilities

• Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms
• Analyze deep learning workloads and provide guidance to map them to Amazon's Neural Edge Engine
• 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
• Publish in open source and present on Amazon's behalf at key ML conferences

Required Skills & Qualifications

Must Have:

• 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

Nice to Have:

• 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.