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Applied Scientist

Applied Scientist

Job ID 
452884
Location 
US-WA-Seattle
Posted Date 
3/8/2017
Company 
Amazon Corporate LLC
Position Category 
Machine Learning Science
Recruiting Team 
..

Job Description


Amazon’s Personalization team owns recommending the right product to the right customer at the right time. The team revolutionized e-commerce with features like “Customers Who Bought Also Bought” and “Recommended for You”. Features we design, build and operate serve hundreds of millions of Amazon customers globally, across all product lines and devices (Kindle, Echo).
We are now working on new products built around Natural Language Understanding and Deep Learning. We are looking for applied scientists and engineers, hungry to invent and deliver the future of Artificial Intelligence.

We are a fun and collaborative group of expert engineers, researchers, and designers. Come and join us as we build new features end-to-end - from data collection, through large scale machine learning to amazing user experience.
You need a great sense for building data driven products, be excited to dive deep, experiment rapidly, and have a desire to learn new things.

We are an inclusive employer and value diversity at Amazon. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Apply now or ping Vaclav Petricek (https://www.linkedin.com/in/petricek) to learn more about the huge impact you will have.

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Basic Qualifications

  • Bachelor’s or Master's degree in Computer Science or equivalent
  • 2+ years experience in Software development
  • 2+ years experience applying Data Science
  • Excellent verbal and written communication skills
  • Proficiency in one statically typed language (Java, C, C++, …)
  • Proficiency in one scripting language (Python, Perl, …)
  • Familiarity with a version control system.
  • Excited to work on a diverse team

Preferred Qualifications

  • Quantitative PhD a plus
  • Experience working with real-world noisy data
  • Strong problem solving skills