Applied Scientist Iii, Sponsored Products and Brands Auctions

Amazon Amazon · Big Tech · NY +1 · Machine Learning Science

The Applied Scientist III role at Amazon Ads focuses on re-imagining the advertising landscape using generative AI and ML technologies for Sponsored Products and Brands. The team is responsible for ad ranking and interleaving on the search page, applying GenAI and ML techniques to optimize ad relevance, placement, and quantity. The role involves architecting next-generation systems, pioneering applied science in multi-modal GenAI for advertising, developing real-time ML algorithms for ad auctions, and researching new ML approaches.

What you'd actually do

  1. Architect next-generation systems that improve Amazon's Search page.
  2. Pioneer breakthrough applied science in multi-modal GenAI applications for advertising, combining text, image, and multi-lingual support.
  3. Develop real-time machine learning algorithms to allocate billions of ads per day in advertising auctions.
  4. Research new and innovative machine learning approaches.

Skills

Required

  • building machine learning models for business application experience
  • PhD, or Master's degree and 6+ years of applied research experience
  • Experience programming in Java, C++, Python or related language
  • Experience with neural deep learning methods and machine learning

Nice to have

  • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
  • Experience with large scale distributed systems such as Hadoop, Spark etc.
  • Experience in auctions or mechanism design

What the JD emphasized

  • building machine learning models for business application experience
  • neural deep learning methods and machine learning

Other signals

  • Generative AI
  • Machine Learning
  • real-time machine learning algorithms
  • multi-modal GenAI applications