AI Model Deployment Specialist

3 days ago


Vancouver, British Columbia, Canada Amazon Full time
Overview

At Amazon, we're pushing the boundaries of what's possible with AI and machine learning. As an Applied Scientist on our Edge AI & ML team, you'll be at the forefront of innovation, working on technology that directly impacts millions of customers.

Purpose

This role offers a unique opportunity to revolutionize machine learning for edge devices. You'll work on developing cutting-edge compression algorithms that enable AI models to run efficiently on resource-constrained hardware.

Key Responsibilities
  • Develop and implement novel algorithms for compressing and optimizing deep learning models for edge devices.
  • Conduct experiments to evaluate and benchmark model performance across various hardware platforms.
  • Collaborate with product teams to integrate our technology into Amazon devices and services.
  • Innovate on techniques to achieve state-of-the-art efficiency in AI model deployment.
  • Explore and adapt emerging ML architectures (e.g., transformers, neural architecture search) for edge computing.
  • Investigate hardware-aware ML techniques to tailor models for specific edge devices.
Requirements

To succeed in this role, you'll need:

  • A PhD or Master's degree in Computer Science, Electrical Engineering, Machine Learning, or a related field, along with 4+ years of experience.
  • Experience programming in Java, C++, Python, or a related language.
  • Strong programming skills in Python and experience with deep learning frameworks like PyTorch or TensorFlow.
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals.
Preferred Qualifications

We're looking for candidates with:

  • Experience using Unix/Linux.
  • Experience in professional software development.
  • Background in optimization, information theory, or signal processing.
  • Track record of developing novel ML algorithms and seeing them through to practical implementation.
  • Publication record in top-tier ML conferences (e.g. NeurIPS, ICML, ICLR).
Benefits

We offer a competitive salary range of $149,300 - $249,300 per year, depending on your level of experience. Our total compensation package includes equity, sign-on payments, and other forms of compensation, as well as a full range of medical, financial, and/or other benefits.



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