Applied Scientist, Sponsored Products and Brands

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

This role focuses on applying and researching novel machine learning approaches, particularly deep learning methods for multi-objective optimization, to develop real-time algorithms for allocating billions of ads daily in advertising auctions. The work involves end-to-end ML projects with ambiguity and scale, aiming to improve customer experience and drive revenue. The role also involves recruiting and 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

  • algorithms and data structures
  • parsing
  • numerical optimization
  • data mining
  • parallel and distributed computing
  • high-performance computing
  • Java
  • C++
  • Python

Nice to have

  • Unix/Linux
  • professional software development

What the JD emphasized

  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • 3+ years of building models for business application experience

Other signals

  • Generative AI technologies
  • Machine Learning projects
  • real-time machine learning algorithms
  • multi-objective optimization using deep learning methods
  • Research new and innovative machine learning approaches