Company Overview
About the job
Description
At Amazon, we believe that scientific innovation is essential to being the most customer-centric company in the world. Our scientists’ ability to have an impact at scale allows us to attract some of the brightest minds in machine learning, artificial intelligence and related fields.
Amazon scientists employ the company’s working backwards method to identify problems to solve on behalf of customers in research areas ranging from machine learning to operations, GenAI, robotics, quantum computing, computer vision, economics, search, sustainability and more.
Key job responsibilities
You will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).
Basic Qualifications
- 10+ years minimum of hands-on science application experience
- PhD in a relevant technical field (or equivalent experience in some cases)
Preferred Qualifications
- Experience programming in Java, C++, Python or related language
- Experience in building machine learning models for business application
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