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Machine Learning Engineer - GenAI, Creative-X, Amazon Advertising

Amazon

10/15/2025

Seattle, WA

Full-time

Salary: $129.3k - $223.6k per year


Job Description

Amazon Advertising is a rapidly growing and profitable business within Amazon, focused on native advertising to help merchants and brand owners succeed.

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

Responsibilities

  • Work closely with Applied Scientists and other MLE and Engineering team members
  • Own end to end deployment at scale of Generative and ML methods
  • Establish scalable, efficient, automated processes for large-scale data analysis
  • Research new approaches for 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

Benefits

  • Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.
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