Senior Software Development Engineer, Prime Video Intelligence

Amazon Amazon · Big Tech · Seattle, WA · Software Development

Senior Software Development Engineer to build AI-powered analytics tooling for Prime Video teams to pinpoint playback issues, debug at scale, and drive smarter business decisions. The role involves working with large-scale real-time data, ML, AI, NLP, and distributed systems to build scalable services. The team focuses on generating actionable metrics, datasets, insights, and intelligence through ML models and tooling, supporting various customers like playback engineers and partner teams working on algorithms. The goal is to automate data exploration and identify key areas for improving customer experience.

What you'd actually do

  1. build AI-powered analytics tooling that helps internal teams pinpoint playback issues, debug at scale, and drive smarter business decisions
  2. tackle complex problems that span a variety of domains: large scale real time data, Machine learning, Artificial intelligence, Natural Language processing, distributed systems and help us build services and systems from ground up which scale and serve billions of requests per day, with obsessively high reliability and low operational overhead
  3. making sense of complex, nuanced, multi-dimensional data and building systems and tools that enables others to do the same in a timely manner
  4. generate actionable metrics, datasets, insights, and intelligence which consumers can explore via tools, dashboards, ML systems or APIs to automate actions
  5. investing into new machine learning models to identify the top items our teams should focus on to improve overall customer experience with the entire Prime Video platform

Skills

Required

  • 5+ years of non-internship professional software development experience
  • 5+ years of programming with at least one software programming language experience
  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems

Nice to have

  • Machine learning
  • Artificial intelligence
  • Natural Language processing
  • distributed systems
  • AWS technologies

What the JD emphasized

  • build services and systems from ground up which scale and serve billions of requests per day, with obsessively high reliability and low operational overhead
  • making sense of complex, nuanced, multi-dimensional data and building systems and tools that enables others to do the same in a timely manner
  • investing into new machine learning models to identify the top items our teams should focus on to improve overall customer experience with the entire Prime Video platform
  • develop systems that generate insights through machine learning and tooling to our customers

Other signals

  • AI-powered analytics tooling
  • Machine learning
  • Artificial intelligence
  • Natural Language processing
  • building systems and tools that enables others to do the same
  • investing into new machine learning models to identify the top items our teams should focus on to improve overall customer experience
  • develop systems that generate insights through machine learning and tooling to our customers