Principal Applied Scientist, Sponsored Products and Brands

Amazon Amazon · Big Tech · Palo Alto, CA · Applied Science

The Principal Applied Scientist will lead the development and deployment of generative AI technologies for Amazon Ads, specifically within the Sponsored Products and Brands team. This role involves reinventing advertising experiences by integrating AI into the ad lifecycle, from creation to performance analysis. The scientist will invent new product experiences, bring state-of-the-art GenAI models to production, and define the long-term science vision for the advertising business, collaborating closely with science, product, and engineering teams to deliver high-impact products.

What you'd actually do

  1. You will play a pivotal role in managing projects at all stages: inception, design, development, deployment and subsequent improvements.
  2. You will tackle challenging problems and coordinate high profile projects across multiple teams to ensure customer and business goals are met.
  3. You will interface across product, science, and engineering teams within the advertising and retail organizations.
  4. You will drive mechanisms that allow the team to move quickly and deliver strong results.
  5. You will operate with a high degree of autonomy and efficiency.

Skills

Required

  • PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field
  • 7+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
  • Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
  • 7+ years of working directly with engineering teams experience
  • 7+ years of technical product or program management experience
  • Experience owning/driving roadmap strategy and definition

Nice to have

  • 8+ years of hands-on work managing complex technology projects experience
  • Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules

What the JD emphasized

  • Gen AI applied science leader
  • proven track record with hands on science vision and execution
  • building high impact products from the ground up
  • bringing state-of-the-art GenAI models to production
  • define the long-term science vision
  • managing projects at all stages
  • coordinate high profile projects
  • 7+ years of working with Data & AI related technologies
  • 7+ years of working directly with engineering teams
  • 7+ years of technical product or program management experience
  • Experience owning/driving roadmap strategy and definition

Other signals

  • Generative AI
  • LLM
  • GenAI models
  • production
  • advertising landscape
  • customer discovery
  • brand engagement