Senior Applied Scientist, Sponsored Products and Brands

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

Senior Applied Scientist role at Amazon Ads, focusing on developing and applying generative AI and LLM technologies to enhance sponsored products and brands advertising. The role involves inventing new advertiser and shopper experiences, building monetization and optimization systems, defining long-term science vision, and bringing state-of-the-art GenAI models to production. Requires strong ML, LLM, and GenAI expertise, with experience in model fine-tuning, prompt engineering, and digital advertising technology. The position also involves leading scientific rigor, mentoring talent, and communicating with leadership.

What you'd actually do

  1. Develop AI solutions for advertiser and shopper experiences. Build monetization and optimization systems that leverage generative models to value and improve campaign performance.
  2. Define a long-term science vision and roadmap for our advertising business, driven from our customers' needs, translating that direction into specific plans for applied scientists and engineering teams.
  3. Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses.
  4. Effectively communicate technical and non-technical ideas with teammates and stakeholders.
  5. Stay up-to-date with advancements and the latest modeling techniques in the field.

Skills

Required

  • building machine learning models for business application
  • LLMs
  • model fine tuning
  • prompt engineering
  • digital advertising technology
  • Java
  • C++
  • Python

Nice to have

  • innovative AI solution development
  • generative model architectures
  • Research publications or patents in generative AI technologies
  • Reinforcement Learning from Human Feedback (RLHF)
  • Retrieval-Augmented Generation (RAG)
  • AI model trade-offs (e.g., model size, latency, cost, and output quality)

What the JD emphasized

  • 3+ years of building machine learning models for business application experience
  • PhD, or Master's degree and 6+ years of applied research experience
  • 3+ years in LLMs, model fine tuning and prompt engineering
  • 3+ years in digital advertising technology.
  • Demonstrated track record of innovative AI solution development
  • Research publications or patents in generative AI technologies
  • Experience in Reinforcement Learning from Human Feedback (RLHF), Retrieval-Augmented Generation (RAG) and AI model trade-offs (e.g., model size, latency, cost, and output quality)

Other signals

  • Develop AI solutions for advertiser and shopper experiences.
  • Build monetization and optimization systems that leverage generative models to value and improve campaign performance.
  • Define a long-term science vision and roadmap for our advertising business, driven from our customers' needs, translating that direction into specific plans for applied scientists and engineering teams.
  • Stay up-to-date with advancements and the latest modeling techniques in the field.
  • Think big about the arc of development of Gen AI over a multi-year horizon and identify new opportunities to apply these technologies to solve real-world problems.