Applied Scientist, SSG Science
Core
Develop and optimize Gen AI models for edge platforms on Amazon devices using custom ML hardware.
Role type
Applied Scientist (Edge AI & Model Optimization)
Builds
Next-generation edge models and production-ready ML solutions for consumer devices (via careerplan.io/jobs/10570717-applied-scientist-ssg-science-at-amazon)
Domain
Consumer Electronics / Edge AI / Deep Learning
Deliverable
production ML models
Required skills
Gen AI model optimization, Neural Edge Engine architecture, Deep Learning Theory, Information Theory, Scientific Computing, Non Equilibrium Thermodynamics, Java, C++, Python
Preferred skills
Algorithm implementation, Top-tier conference publications
Technologies
Neural Edge Engine, NeurIPS, ICLR, MLSys
Responsibilities
Quantize, prune, distill, and finetune Gen AI models for edge platforms; Analyze deep learning workloads to map them to the Neural Edge Engine; Train custom Gen AI models that beat SOTA; Collaborate with compiler engineers, hardware architects, and product teams; Publish research and present at key ML conferences.