Applied Scientist Ii, Search Navigation - Berlin, Deutschland - Amazon Development Center DEU
Beschreibung
PhD in Computer Science, Applied Mathematics, or Statistics (alternatively, MSc. and 3+ years in an ML scientist role)Hundreds of millions of customers. Billions of queries per year and dollars in revenue.
The scale and impact of Amazon Search is huge and we need you to imagine and develop innovative solutions to realize the future of product search worldwide.
The Amazon Search team is looking for an Applied Scientist to work on our worldwide services that help customers explore Amazon's product selection.
The Search Navigation team is responsible for worldwide customer facing search features.Our algorithms select and rank navigation options to help customers explore, refine, and traverse search results across all device experiences worldwide.
We exploit and enrich behavioral and semantic information to power an intelligent and flawless shopping experience.On a day-to-day basis, you will be part of a small, close-knit team of Applied Scientists and Engineers that are agile, data driven, and highly collaborative.
You will be responsible for designing novel services, propose ideas, and solutions during planning with your team, implement big ideas, and then measure the experimental results.
You will partner with the teams that power search relevance, query understanding, browse, and product recommendations.Engineers and scientists on our team have implemented ideas that have impacted millions of customers and generated millions of dollars in revenue.
You should love challenges and working on large-scale, customer-facing projects.You have a strong sense of ownership and creativity as well as a focus on the technical operations for your team's systems.
You look forward to working in a high quality, international and diverse environment.- Experience with modeling tools such as R, scikitlearn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience programming in Scala and Python
- Solid Machine Learning background
- Experience with deep learning framework such as TensorFlow or Keras
- Experience with endtoend development of complex projects (e.g., Robotics, IT, ML apps, Optimization software)
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