Amazon
Senior Applied Scientist, Linear Personalization Experience Team (LPEX)
$167K–$260K
Boston, MA +3 · Senior · Full-time · Posted Jun 10, 2026
- Location
- Boston, MA
Sunnyvale, CA
Seattle, WA
SEATTLE, WA - Experience
- PhD, or Master's degree and 6+ years of applied research experience; 5+ years of building machine learning models for business application experience.
- Education
- PhD, or Master's degree
About the job
Leads science strategy and builds, evaluates, and deploys real-time machine-learning personalization and recommendation systems for Prime Video Linear TV.
What you'll do
- Set the science strategy and roadmap for Linear TV personalization, connecting research to customer and business outcomes.
- Own the machine-learning lifecycle, from problem formulation and model development through experimentation and production deployment.
- Run experiments, partner with product and engineering teams, publish research, and mentor scientists and engineers.
What they ask for
- PhD, or Master's degree and 6+ years of applied research experience
- 5+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
Nice to have
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2
Pay
USD 192,200.00 - 260,000.00 annually (base salary); USD 167,100.00 - 226,100.00 annually (base salary)
Tools
Java, C++, Python, R, scikit-learn, Spark MLLib, Tensorflow, AWS
AI focus
Builds AI-powered personalization and recommendation systems for Linear TV, optimizing content discovery and viewer engagement through real-time machine learning.
Model-written summary · the original posting is authoritative