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About the role

Senior Applied Science Manager, Applied AI at Amazon.com Services LLC

Required Skills

machine learninggenerative aillmawsbig datateam leadershipproject management

About the Role

Lead a cross-functional team of scientists and engineers to develop LLM-based solutions and scale AI technologies for Amazon's eCommerce business. Drive innovation in ML and Generative AI to impact billions in revenue and enhance customer experience.

Key Responsibilities

  • Lead a cross-functional team of scientists and engineers
  • Develop and maintain systems and tools to accelerate knowledge operations
  • Push boundaries of ML and Generative AI techniques for eCommerce scaling
  • Collaborate with research teams and manage project execution
  • Leverage Amazon's data sources and computing resources for AI advances

Required Skills & Qualifications

Must Have:

  • 10+ years of building large-scale machine learning and AI solutions at Internet scale
  • Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)
  • Experience distilling informal customer requirements into problem definitions
  • Experience hiring and leading experienced scientists and developing junior members

Nice to Have:

  • PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)
  • 5+ years of hands-on work in big data, machine learning and predictive modeling
  • Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive

Benefits & Perks

  • Base pay ranging from $196,900 to $340,300/year depending on geographic market
  • Equity, sign-on payments, and other forms of compensation
  • Full range of medical, financial, and/or other benefits
  • Inclusive culture with accommodations for disabilities