Senior Software Engineer, AI-Driven Video Personalization

Amazon.com Services LLC

Seattle (WA)

On-site

USD 180,000 - 260,000

Full time

4 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Stock RSUs

Job summary

Amazon.com Services LLC’s Prime Video Personalization and Discovery team seeks a Senior Software Development Engineer to lead AI-powered content discovery initiatives. You will define technical strategy and architecture for PV groupings and optimizations, while driving operational excellence across the org.

You will mentor engineers, lead design decisions, and collaborate with applied scientists and product teams to deliver fast, reliable personalization experiences at scale for a global

Qualifications

  • 5+ years of professional software development experience.
  • 5+ years of programming experience in at least one language.
  • 5+ years of leading design or architecture of new and existing systems.

Responsibilities

  • Design, develop and maintain AI-based recommendation systems services that drive personalized experiences across Prime Video.
  • Build distributed systems to manage high-volume, low-latency AI powered customer experiences.
  • Develop tooling and automation to improve efficiency, visibility, and reliability of recommendation systems.
  • Collaborate cross-functionally with researchers, product management, and other software teams to enhance discovery and personalization experiences.
  • Mentor engineers, provide technical guidance, and communicate architectural decisions.

Skills

Software development
System design
Mentoring
Leadership

Education

Bachelor's degree in Computer Science

Job description

Amazon.com Services LLC’s Prime Video Personalization and Discovery team seeks a Senior Software Development Engineer to lead AI-powered content discovery initiatives. You will define technical strategy and architecture for PV groupings and optimizations, while driving operational excellence across the org.

You will mentor engineers, lead design decisions, and collaborate with applied scientists and product teams to deliver fast, reliable personalization experiences at scale for a global

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