Sr. Principal Applied Scientist, Advertising Full Funnel Agentic Intelligence

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

Sr. Principal Applied Scientist role focused on building next-generation agentic AI systems for Amazon Ads, requiring expertise in multimodal foundation models, model architectures, and large-scale training.

What you'd actually do

  1. Define long-term scientific vision for advertising technologies, translating complex customer needs into strategic roadmaps
  2. Design and implement innovative machine learning and generative AI solutions across multiple advertising product domains
  3. Mentor and develop scientific talent, fostering a culture of excellence and continuous innovation
  4. Collaborate with senior leadership to influence technical direction and strategic decision-making
  5. Establish partnerships with academic institutions to drive cutting-edge research and talent development

Skills

Required

  • Doctoral degree in Computer Science, Machine Learning, Artificial Intelligence, or related technical discipline
  • Extensive expertise in machine learning, generative AI, and large language model technologies
  • Proven track record of translating advanced research into production-ready solutions
  • Strong publication record in peer-reviewed conferences and journals
  • Demonstrated ability to communicate complex technical concepts to diverse audiences

Nice to have

  • Experience in advertising technology, recommendation systems, or e-commerce platforms
  • Expertise in multi-modal AI systems and advanced natural language processing
  • Background in developing scalable machine learning infrastructure
  • Experience leading cross-functional scientific research initiatives
  • Demonstrated ability to mentor and develop scientific talent

What the JD emphasized

  • multimodal foundation models
  • model architectures
  • training methodologies at scale
  • advanced research into production-ready solutions
  • publication record

Other signals

  • building next-generation agentic AI systems
  • multimodal foundation models
  • model architectures
  • training methodologies at scale