Senior Applied Science Manager, Applied AI

AmazonBellevue, WA
65d$196,900 - $340,300

About The Position

We are seeking a passionate, talented, and inventive individual to join the Applied AI team and help build industry-leading technologies that customers will love. This team offers a unique opportunity to make a significant impact on the customer experience and contribute to the design, architecture, and implementation of a highly innovative product. The mission of the Applied AI team is to enable organizations within Worldwide Amazon.com Stores to accelerate the adoption of AI technologies across various parts of our business. We are looking for a Senior Applied Science manager to join our Applied AI team and lead a cross-functional team of scientists and engineers who work on LLM-based solutions. On our team you will push the boundaries of ML and Generative AI techniques to scale the inputs for hundreds of billions of dollars of annual revenue for our eCommerce business. If you have a passion for AI technologies, a drive to innovate and a desire to make a meaningful impact, we invite you to become a valued member of our team.

Requirements

  • 10+ years of building large-scale machine learning and AI solutions at Internet scale experience.
  • 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.
  • Successful record of developing junior members from academia or industry.

Nice To Haves

  • 10+ years of practical work applying ML to solve complex problems for large-scale applications experience.
  • 5+ years of hands-on work in big data, machine learning and predictive modeling experience.
  • 5+ years of people management experience.
  • PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent).
  • Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive.

Responsibilities

  • Lead a cross-functional team of scientists and engineers.
  • Develop and maintain systems and tools to accelerate knowledge operations.
  • Push the boundaries of ML and Generative AI techniques.
  • Scale inputs for hundreds of billions of dollars of annual revenue.
  • Collaborate with research teams and top-notch developers.
  • Solve complex problems and innovate in AI technologies.

Benefits

  • Equity and sign-on payments as part of total compensation package.
  • Full range of medical, financial, and/or other benefits.
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