Manager, Applied Science
- Tel Aviv, Israel
Amazon Search team is responsible for the worldwide customer facing search features on desktops, tablets, and mobile devices - everything from the moment a customer clicks into the search box to when they view search results.
As an Applied Science manager, you will lead the science innovation in search autocomplete and spelling corrections. Autocomplete accounts for half of all Search traffic on Amazon; spelling correction touches all searches. We touch the lives of hundreds of millions of Amazon customers every day. You will work with scientists and engineers to identify opportunities, solve the problems using data-driven algorithms and bring the solutions to production. You will help customers to better formulate their search queries and explore Amazon catalog through Autocomplete suggestions and enable customers to focus on their shopping mission, instead of spellings, by correcting their misspellings. You will also collaborate with Product, Design and Business functionalities to improve the usability of our features for all customer segments. All your work has a direct and visible impact on shopping experiences of Amazon customers.
Joining this team, you'll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.com (AMZN), Earth's most customer-centric company.
• M.S. in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, Statistics, Mathematics, or related discipline
• At least 2 years of experience in managing a team of applied scientists and engineers.
• At least 5 years experience in building large-scale machine learning and solutions at scale.
• At least 2 years programming experience in Java, Python, Scala, C++, or other mainstream language
• Excellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization.
• Ph.D. in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, Statistics, Mathematics, or related discipline
• Experience with Internet-scale distributed technologies.
• Experience in natural language processing.
• Published research work in academic conferences or industry circles.
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