Job Description

DESCRIPTION

Amazon's AGI Information team is seeking a passionate, talented, and inventive MLE to lead the development of industry-leading systems. As part of our cutting-edge team, you will play a pivotal role in reinventing efficient AI solutions at scale.

In this role, you will work alongside renowned researchers and engineers to enable our customers to seamlessly interact with content. You will design, develop, and deploy scalable and efficient machine learning models and systems to power these transformative applications. The scope of these efforts includes defining public APIs, performance tuning and analysis, crafting and implementing compiler and optimization techniques for neural networks, and other general software engineering work.

Key job responsibilities
* Design and build scalable infrastructure that enables training, evaluating and deploying machine learning models
* Design and develop tools for monitoring the performance of machine learning models at scale
* Design and develop lineage and artifact tracking infrastructure
* Design and develop reproducible ML Pipelines orchestrating various components for ML models.
* Optimize model performance, robustness, and efficiency through techniques like model compression, knowledge distillation, and hardware acceleration
* Embrace and champion engineering best practices within your group and beyond
* Produce clean, high-quality code, tests, and written documentation
* Mentor and guide junior engineers, share knowledge, and contribute to an innovative, collaborative culture

BASIC QUALIFICATIONS

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

Job Tags

Full time, Internship,

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