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Amazon Machine Learning Engineer Cross-Devices Marketing - Automate & Scale 
United States, Washington, Seattle 
663457422

09.09.2024
DESCRIPTION

The types of experiences you'll be building include:
- Developing solutions to generate better performing detail page titles, bullet points, and product descriptions for our devices.
- Create high quality images using the latest GenAI models to better showcase our products.Key job responsibilities
- Design and develop scalable, cloud-native applications to power text and image generation capabilities
- Leverage AWS generative AI services to build efficient, cost-effective models and inference pipelines
- Collaborate with cross-functional teams to understand requirements and deliver innovative solutions
- Contribute to the full software development lifecycle, including architecture, design, coding, testing, and operations

BASIC QUALIFICATIONS

- Bachelor's degree in computer science or equivalent
- 3+ years of non-internship, professional software development experience
- 3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of collaborating with, and influencing applied scientists and the broader science community within an organization
- Experience as a mentor, tech lead or leading an engineering team


PREFERRED QUALIFICATIONS

- Graduate degree in Computer Science or related field (MS or Ph.D.)
- 2+ years of hands-on experience in building scalable ML infrastructure.
- 2+ years of experience in ML inference pipeline, Model performance optimization, and Model quality monitoring.
- 3+ years of experience with end-to-end software development and life cycle of machine learning solutions.
- Excellence in technical communication with scientists and engineers
- Track record of implementing AWS services in a variety of business such as large enterprises and start-ups