Amazon
Senior Manager Applied Science, Prime Video Personalization & Discovery
$219K–$340K
Sunnyvale, CA +3 · Manager · Full-time · Posted Oct 9, 2026
- Location
- Sunnyvale, CA
Seattle, WA
New York, NY
SEATTLE, WA - Experience
- 8+ years in ML model design, building, and deployment; alternatively, a Master’s degree requires 10+ years of applied experience.
- Education
- PhD in machine learning, computer science, statistics, or a related field; or Master’s with 10+ years of applied experience.
About the job
Leads the development and deployment of machine-learning and AI solutions that personalize Prime Video discovery across recommendations, search, and other customer touchpoints.
What you'll do
- Set technical direction and lead ML systems from research through production deployment.
- Build AI and optimization solutions for customer discovery, balancing customer delight and business outcomes.
- Mentor scientists and influence product and engineering roadmaps.
What they ask for
- PhD in machine learning, computer science, statistics, or a related field; or a Master’s with 10+ years of applied experience.
- 8+ years designing, building, and deploying ML models for real-world business applications at scale.
- Proven leadership of cross-functional ML/AI initiatives from ideation through production.
- Programming experience in Python, Java, or C++, ML framework experience, and deep expertise in recommendation systems, search relevance, or large-scale personalization systems.
Nice to have
- Strong publication record in top-tier conferences such as NeurIPS, ICML, KDD, RecSys, or SIGIR.
- Experience with large-scale distributed systems such as Hadoop or Spark.
Pay
251,600.00 - 340,300.00 USD annually (base salary); 240,600.00 - 325,500.00 USD annually (base salary); 218,800.00 - 295,900.00 USD annually (base salary)
Tools
Python, Java, C++, TensorFlow, PyTorch, Hadoop, Spark
AI focus
Develops and deploys AI, machine learning, and Generative AI solutions for Prime Video personalization and content discovery, including recommendations and search.
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