Applied Scientist, SSG Science
Core
Develop state-of-the-art Gen AI models optimized for edge platforms and custom ML hardware for consumer devices. (via careerplan.io/jobs/10572900-applied-scientist-ssg-science-at-amazon)
Role type
Applied Scientist (Edge AI & Model Optimization)
Builds
Next-generation edge models and production-ready ML solutions for Amazon devices
Domain
Consumer Electronics, Edge AI, Custom Hardware
Deliverable
production ML models
Required skills
Gen AI model optimization, Quantization, Pruning, Distillation, Fine-tuning, Deep Learning Theory, Information Theory, Scientific Computing, Non Equilibrium Thermodynamics, Neural Edge Engine architecture, Java, C++, Python
Preferred skills
Algorithm implementation, Top-tier conference publications
Technologies
Neural Edge Engine, Gen AI frameworks, Custom ML HW
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 to beat SOTA; Collaborate with compiler engineers, hardware architects, and product teams; Publish research and present at ML conferences (NeurIPS, ICLR, MLSys).