Applied Scientist, Sponsored Products and Brands

Amazon Amazon · Big Tech · Seattle, WA · Applied Science

Applied Scientist role at Amazon Ads focusing on generative AI for sponsored products, developing real-time ML algorithms for ad allocation and multi-objective optimization. The role involves end-to-end ML projects with ambiguity and scale, aiming to improve customer experience and drive revenue. It also includes researching new ML approaches and potentially recruiting/mentoring scientists.

What you'd actually do

  1. Tackle and solve challenging science and business problems that balance the interests of advertisers, shoppers, and Amazon.
  2. Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
  3. Develop real-time machine learning algorithms to allocate billions of ads per day in advertising auctions.
  4. Develop efficient algorithms for multi-objective optimization using deep learning methods to find operating points for the ad marketplace then evolve them
  5. Research new and innovative machine learning approaches.

Skills

Required

  • building models for business application experience
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • Experience programming in Java, C++, Python or related language
  • Experience in algorithms and data structures
  • Experience in parsing
  • Experience in numerical optimization
  • Experience in data mining
  • Experience in parallel and distributed computing
  • Experience in high-performance computing

Nice to have

  • Experience using Unix/Linux
  • Experience in professional software development

What the JD emphasized

  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • Experience programming in Java, C++, Python or related language
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Other signals

  • develop real-time machine learning algorithms to allocate billions of ads per day in advertising auctions
  • develop efficient algorithms for multi-objective optimization using deep learning methods
  • research new and innovative machine learning approaches