Senior AI Leader, Content Personalization

Amazon; Seattle (WA); On-site; USD 219,000 - 296,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon seeks a Senior Manager, Applied Science for Prime Video Personalization and Discovery. You will lead AI/ML initiatives across the customer discovery journey, balancing customer delight with business outcomes by partnering with product and engineering teams.

The role emphasizes building scalable ML solutions, guiding senior scientists, and shaping the PVPD strategy to automate personalized recommendations and search experiences. Seattle-based with competitive compensation and benefits.

Qualifications

• 10+ years of building large-scale machine learning and AI solutions at Internet scale
• Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)
• Experience building large-scale machine learning and AI solutions at Internet scale
• Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
• Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track

Responsibilities

• Optimize the complete customer experience across discovery journey using AI and optimization solutions
• Collaborate with product and engineering to deliver balanced customer delight and business outcomes
• Lead and mentor a team of scientists, including developing junior members to career milestones

Skills

Machine learning

AI systems

Team leadership

Recruiting & mentoring

Education

Master's degree in Computer Science

PhD in Computer Science

Tools

AWS

Hadoop

Spark

Pig

Hive

Java

C++

Python

Job description

Amazon seeks a Senior Manager, Applied Science for Prime Video Personalization and Discovery. You will lead AI/ML initiatives across the customer discovery journey, balancing customer delight with business outcomes by partnering with product and engineering teams.

The role emphasizes building scalable ML solutions, guiding senior scientists, and shaping the PVPD strategy to automate personalized recommendations and search experiences. Seattle-based with competitive compensation and benefits.