Principal Applied Scientist, Personalization & Discovery

Amazon Science

Seattle (WA)

On-site

USD 199,000 - 269,000

Full time

12 hours ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave
RSUs

Job summary

Amazon Science in Seattle seeks a Principal Applied Scientist for Prime Video to invent, develop, and deploy groundbreaking AI solutions powering personalized, relevant experiences for millions of global customers. You will shape the direction of key ML systems supporting Prime Video’s mission to deliver AI-powered customer experiences.

This role demands deep expertise in machine learning, recommendation systems, and end-to-end system leadership, with a track record of delivering ML innovations

Qualifications

  • PhD (or Master’s with 10+ years of applied experience) in machine learning, computer science, statistics, or a related field
  • 8+ years experience designing, building, and deploying ML models for real-world business applications at scale
  • Proven leadership in driving cross-functional ML/AI initiatives from ideation through production
  • Deep expertise in recommendation systems, search relevance, or large-scale personalization systems
  • Experience with ML frameworks (TensorFlow, PyTorch) and languages (Python/Java/C++)

Responsibilities

  • Invent, prototype, and productionize large-scale AI solutions across Prime Video’s personalization and discovery ecosystem
  • Provide technical leadership and influence product vision by collaborating with engineers, product managers, and senior stakeholders
  • Design and lead high-impact A/B tests and data analyses to validate hypotheses and guide product direction
  • Drive technical bar-raising across science and engineering teams through mentorship, design reviews, and collaboration
  • Stay ahead of industry trends and emerging research; evolve long-term strategy and architecture
  • Publish impactful research internally and externally (top-tier conferences and journals)

Skills

Python/Java/C++
ML frameworks
Recommendation systems
Cross-functional collaboration

Education

PhD or Master’s with 10+ years applied experience (ML/CS/Statistics)

Tools

TensorFlow
PyTorch
Hadoop
Spark

Job description

Amazon Science in Seattle seeks a Principal Applied Scientist for Prime Video to invent, develop, and deploy groundbreaking AI solutions powering personalized, relevant experiences for millions of global customers. You will shape the direction of key ML systems supporting Prime Video’s mission to deliver AI-powered customer experiences.

This role demands deep expertise in machine learning, recommendation systems, and end-to-end system leadership, with a track record of delivering ML innovations

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