Edge Gen AI Scientist: Quantize, Prune & Deploy

Amazon Inc.; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Amazon Inc. is seeking a talented Applied Scientist to advance Gen AI on edge devices. You will quantize, prune, and finetune models for edge platforms and collaborate with compiler engineers, hardware architects, and product teams to deploy ML-centric solutions.

The role emphasizes deep learning theory, information theory, and open-source publishing, with opportunities to present at top conferences. Join Amazon Devices to shape next-gen edge intelligence.

Qualifications

• Bachelor's degree in computer science, mathematics, statistics, ML or related field.
• Experience programming in Java, C++, Python.

Responsibilities

• Quantize, prune, distill, and finetune Gen AI models for edge platforms.
• Understand Neural Edge Engine to invent optimization techniques.
• Analyze workloads and map to Neural Edge Engine.
• Apply Information Theory and Deep Learning to optimize performance.
• Collaborate with engineers and product teams to deliver ML-centric solutions.
• Publish in open source and present at major ML conferences.

Skills

Java

C++

Python

Machine Learning

Deep Learning

Education

Bachelor's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field

Tools

PyTorch

TensorFlow

Job description

Amazon Inc. is seeking a talented Applied Scientist to advance Gen AI on edge devices. You will quantize, prune, and finetune models for edge platforms and collaborate with compiler engineers, hardware architects, and product teams to deploy ML-centric solutions.

The role emphasizes deep learning theory, information theory, and open-source publishing, with opportunities to present at top conferences. Join Amazon Devices to shape next-gen edge intelligence.