Sr. Machine Learning Engineer - Amazon - San Francisco - Wizbii

Sr. Machine Learning Engineer

  • Par Amazon
  • San Francisco (United States of America)

Description de l'offre


Amazon Lab126 is an inventive research and development company that designs and engineers high-profile devices like the Kindle family of products. Lab126 began in 2004 as a subsidiary of, Inc. Since then, we have worked to produce best-selling e-readers and tablets, as well as new inventions like Fire TV. What will you help us create?

Work hard. Have fun. Make history.

The Role:
We are seeking a Sr. Machine Learning Engineer to join the Fire OS data science team. We are responsible for measuring the health of our products - Fire TVs, Fire Tablets, and Echos. We conduct data research and find ways to apply statistical and machine learning techniques to solve business problems across all aspects of the organization. In this role, you will:
· Work with Data Scientists to design and implement machine learning applications and solutions.
· Implement and maintain a high-volume, highly available, hybrid (SQL + NoSQL) data processing infrastructure that consists of structured and semi-structured data
· Design and implement a very large distributed data warehousing and reporting solution and integrate it with 3rd-party business intelligence tools

Profil recherché


· 5+ years of experience in software development of large-scale data infrastructure and distributed systems
· 5+ years of experience in data extraction, transformation, statistical analysis and data modeling
· 5+ years of experience developing enterprise software using Java or Python
· 3+ years of experience in applying Data Mining and Machine Learning techniques to solve business problems
· 3+ years of experience using major RDBMS, Hadoop, Spark, Elasticsearch, or similar technologies
· 3+ years of experience with statistical modeling tools such as R, SAS, SciKit-learn, or TensorFlow
· Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, or related field or equivalent experience.

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