Amazon
Sr. Applied Scientist, Prime Video - Title Lifecycle Presentation
$167K–$226K
Seattle, WA · Senior · Full-time · Posted Oct 1, 2026
- Experience
- 3+ years building machine learning models for business applications; PhD, or Master's degree and 6+ years of applied research experience.
- Education
- PhD, or Master's degree and 6+ years of applied research experience.
About the job
Leads applied science initiatives that use machine learning to improve Prime Video content presentation, discovery, and personalization, from research through production deployment.
What you'll do
- Lead initiatives in recommender systems, generative AI agent development and evaluation across multiple modalities, and computer vision.
- Partner with engineering teams to productionize machine learning models and develop production-ready science code.
- Mentor junior scientists and engineers in applied science methods and professional development.
What they ask for
- 3+ years of experience building machine learning models for business applications.
- PhD, or a Master's degree and 6+ years of applied research experience.
- Programming experience in Java, C++, Python, or a related language.
- Experience with neural deep learning methods and machine learning.
Nice to have
- Experience with modeling tools such as R, scikit-learn, Spark MxNet, Tensorflow, numpy, or scipy.
- Experience with large-scale distributed systems such as Hadoop or Spark.
Pay
167,100.00 - 226,100.00 USD annually (base salary)
Tools
Java, C++, Python, R, scikit-learn, Spark MxNet, Tensorflow, Hadoop
AI focus
Develops and productionizes machine learning for content discovery and personalization, including recommender systems, generative AI agents, multimodal evaluation, computer vision, contextual ranking, and reinforcement learning.
Model-written summary · the original posting is authoritative