Amazon
Applied Scientist II, Search Ranking
$172K–$222K
Palo Alto, CA · Full-time · Posted Aug 10, 2026
- Experience
- 4+ years with a Master's degree; PhD is an alternative.
- Education
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
About the job
Develops and deploys machine-learning methods and production components to improve Amazon product-search ranking and relevance.
What you'll do
- Analyze product-search traffic data and metrics.
- Design, build, and deploy ML solutions for search ranking; evaluate them with offline benchmarks and online A/B tests.
- Publish and present work at internal and external scientific venues in ML/NLP/IR.
What they ask for
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
- Programming experience in Java, C++, Python or a related language.
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
Nice to have
- Experience using Unix/Linux and in professional software development.
- Experience designing, training, optimizing, or pruning deep-learning models; experience with MXNet, TensorFlow, Caffe, or PyTorch.
Pay
171,600.00 - 222,200.00 USD annually (base salary)
Tools
Java, C++, Python, Unix/Linux, MXNet, TensorFlow, Caffe, PyTorch
AI focus
Develop machine-learning ranking signals, features, and algorithms to improve search relevance, including predicting new-product popularity and analyzing customer behavior.
Model-written summary · the original posting is authoritative