Applied Scientist, Sponsored Products and Brands

Amazon Amazon · Big Tech · NY +1 · Applied Science

Applied Scientist role focused on developing and implementing Generative AI solutions for Amazon's Sponsored Products and Brands advertising platform. The role involves building recommendation systems, designing new AI solutions, and driving the science vision to improve advertiser campaigns and shopper experiences. It requires end-to-end ownership from design to launch, including A/B testing and long-term strategic planning.

What you'd actually do

  1. Develop AI solutions for Sponsored Brands advertiser and shopper experiences. Build recommendation systems that leverage generative models to develop and improve campaigns.
  2. You invent and design new solutions for scientifically-complex problem areas and/or opportunities in new business initiatives.
  3. You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You take ownership of these components, providing a system-wide view and design guidance. These systems or solutions can be brand new or evolve from existing ones.
  4. Define a long-term science vision and roadmap for our Sponsored Brands advertising business, driven from our customers' needs, translating that direction into specific plans for applied scientists and engineering teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
  5. Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end;

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 any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Nice to have

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

What the JD emphasized

  • building models for business application experience
  • scientifically-complex problem areas
  • scientifically-complex software solutions
  • critical scientific novelty
  • long-term science vision
  • Gen AI

Other signals

  • develop AI solutions for Sponsored Brands advertiser and shopper experiences
  • build recommendation systems that leverage generative models
  • design and implement Gen AI solutions that help millions of advertisers create more effective ad campaigns with intelligent recommendations