Amazon - Seattle, WA

posted 4 days ago

Full-time - Mid Level
Seattle, WA
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 large-scale data analysis. The MLE will contribute to building customer-facing features and will be part of a team dedicated to innovation in AI-driven advertising 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 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 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

  • Competitive salary based on market location and experience
  • Equity and sign-on payments as part of total compensation package
  • Full range of medical, financial, and other benefits
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service