You'll design and develop systems that ensure customers can easily navigate between product variations (sizes, colors, styles), leveraging Large Language Models, cloud computing, and machine learning to ensure variation data quality and consistency. Working with complex theme attributes across product families, you'll solve fascinating technical challenges:
Developing innovative LLM solutions to automatically measure and improve variation quality
Creating sophisticated measurement systems to track quality metrics and identify improvement opportunities
Implementing robust applications using AWS technologies like EMR, ECS, Fargate, and SageMaker
Key job responsibilities
* Design and develop scalable services that measure, validate, and improve variation relationship quality across billions of products using AWS technologies (EMR, ECS, Fargate, SageMaker)
* Implement sophisticated algorithms to ensure consistency in variation theme attributes (size, color, style) across all global marketplaces
* Build innovative GenAI solutions using Large Language Models to automatically evaluate and enhance variation quality
* Create robust feedback mechanisms that enable continuous improvement of variation data
* Develop tooling and APIs that help Selling Partners address product variation quality issues* Participate in architectural decisions that balance performance, cost, and customer experienceA day in the life
* Write and review high-quality, well-tested code in languages such as Java and Python
* Collaborate with team members on design documents and architectural decisions
* Analyze data to identify variation quality issues and measure improvement impact
* Attend daily stand-ups and participate in sprint planning/retrospective meetings
* Work with product managers to scope and prioritize new features
* Debug and resolve production issues while maintaining service reliability
* Monitor system performance and optimize for scale and efficiency
* Stay current with latest ML/AI technologies and evaluate their potential application
* Mentor junior engineers and provide technical guidance
- 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
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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