Applied Scientist II, Search Ranking
Core
Invent universally applicable signals and algorithms for training machine-learned ranking models to improve search quality for Amazon's product search service.
Role type
Applied Scientist II, Search Ranking
Builds
High performance, fault-tolerant distributed search systems and production-level ranking components
Domain
E-commerce, Search, Machine Learning
Deliverable
production ML models
Required skills
algorithms and data structures, numerical optimization, data mining, parallel and distributed computing, high-performance computing, Java, C++, Python
Preferred skills
deep learning model architecture design, deep learning training and optimization, model pruning, MXNet, TensorFlow, Caffe, PyTorch, Unix/Linux, professional software development
Responsibilities
Analyze data and metrics from product search traffic, design and deploy innovative ML solutions for search ranking, evaluate solutions via offline benchmarks and online A/B tests, publish and present work at scientific venues
Seniority
Mid-Senior, hands-on IC