Amazon.com Services LLC

Technology

MachineLearningEngineerIII,SpecialProjects

$151–262k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Machine Learning Engineer III, Special Projects at Amazon.com Services LLC”

Industry & Context.

Technology
Full Job Description

Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the limits. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you. As a Senior Machine Learning Engineer on our team, you will leverage your deep technical expertise to build reliable, scalable, and highly performant AI systems. You will drive technical strategy and collaborate closely with Applied Scientists on modeling experiments and prototypes, translating concepts into production-ready solutions. We’re looking for someone who wants to can make a positive impact on humanity, has a track record of innovating and building successfully, and loves solving hard problems! Key job responsibilities The ideal candidate for this role has a demonstrable track record of delivering successfully in a hyper-growth ML/AI environment by leveraging their deep technical expertise and adapting deftly to rapidly evolving priorities. In this role, you will: - Spearhead large scale technical initiatives and make critical architectural decisions - Identify and resolve complex technical challenges, often in ambiguous problem spaces - Design and implement scalable data processing pipelines and infrastructure to support ML model training workflows - Develop tools for data preprocessing, feature engineering, and efficient resource utilization for large-scale AI training jobs - Create monitoring systems, debugging tools, and performance optimization solutions for ML infrastructure - Collaborate to integrate ML frameworks with production systems and implement version control for both code and model artifacts - Mentor and guide MLEs and SDEs, fostering their growth and the overall team’s capabilities A day in the life Our main data consumers and producers are science teams. You will work closely with scientists from various domains to clarify requirements, design

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