Sr. Applied Scientist

Bachelor of Technology/Engineering (Computers), Master of Technology/Engineering (Computers)

Nationality: Any Nationality

Vacancy: 1 Vacancy

Job Description

Key Job Responsibilities

1. Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms
2. Fundamentally understand Amazon’s underlying Neural Edge Engine to invent optimization techniques
3. Analyze deep learning workloads and provide guidance to map them to Amazon’s Neural Edge Engine
4. Use first principles of Information Theory, Scientific Computing, Deep Learning Theory, Non Equilibrium Thermodynamics
5. Train custom Gen AI models that beat SOTA and pave the path for developing production models
6. Collaborate closely with compiler engineers, fellow Applied Scientists, Hardware Architects, and product teams to build the best ML-centric solutions for our devices
7. Publish in open source and present on Amazon's behalf at key ML conferences - NeurIPS, ICLR, MLSys.

BASIC QUALIFICATIONS

1. Experience in building machine learning models for business applications
2. PhD, or Master's degree and 6+ years of applied research experience
3. Experience programming in Java, C++, Python, or related languages
4. Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS

1. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc.
2. Experience with large scale distributed systems such as Hadoop, Spark, etc.