Machine Learning Engineer - Generative AI, Creative-X

$129,300 - $223,600/Yr

Amazon - Sunnyvale, CA

Full-time - Mid Level

Sunnyvale, CA

10,001+ employees

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Machine Learning Engineer (MLE) position within Amazon Advertising's Creative X team focuses on deploying and productizing Generative AI models for advertising at scale. The role involves collaboration with applied scientists and engineering teams to transform research into production-ready solutions, ensuring efficient model deployment and data analysis processes. The MLE will contribute to the team's innovative efforts in democratizing access to high-quality creatives through AI-driven solutions.

Responsibilities

• Work closely with Applied Scientists and other MLE and Engineering team members to transform research code into production.
• Own end to end deployment at scale of Generative and ML methods.
• Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
• Research new and innovative approaches to do efficient model deployment and training.
• Document processes and methods for technical and non-technical audiences.
• Contribute to code reviews.
• Mentor and help recruit MLEs to the team.
• Present outcomes and explain approaches to senior leadership.

Requirements

• 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
• Experience with data curation processes
• Experience setting up distributed training infrastructure
• Familiarity with Deep Learning and Machine Learning models
• Experience with Machine Learning Code optimization for efficiency.

Nice-to-haves

• 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
• Experience handling and organizing video assets
• Ideally familiar with Amazon systems and deployment methods for production.

Benefits

• Medical insurance
• Financial benefits
• Equity options
• Sign-on payments
• Comprehensive employee benefits package