Senior Applied Scientist, Search Relevance International

About the role

We are seeking a strong applied scientists to join the newly formed Relevance India team. This team’s charter is to increase the pace at which Amazon expands and improve the search experience at launch. In practice, we aim to invent universally applicable signals and algorithms for training machine-learned ranking models and improve the machine-learning framework for training and offline evaluation that is used for all new relevance models.

What you'll do

• Build machine learning models for Product Search
• Develop new ranking features and techniques building upon the latest results from the academic research community
• Design, develop, and implement production level code that serves billions of search requests
• Own the full development cycle: design, development, impact assessment, A/B testing (including interpretation of results) and production deployment
• Take ownership. Understand the needs of various search teams, distil those into coherent projects, and implement them with an eye on long-term impact

What you need

• 6–11 yrs of experience
• Machine learning
• Python
• Deep learning
• C++
• Java
• PhD

Good to have

• Scikit-learn
• Spark
• R
• TensorFlow
• NumPy
• Hadoop