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On a typical day, you'll collaborate closely with machine learning scientists, fellow software engineers, and finance teams across Amazon. You'll work with massive datasets in the terabytes range, developing robust machine learning pipelines to process billions in transaction value. We emphasize partnering with our internal customers, so you'll interact directly with them to understand requirements and get feedback.Key job responsibilities
A day in the life
In a typical day, you will work with machine learning scientists, other software engineers, and business groups across Amazon Finance. You will work with terabytes of data and develop machine learning pipelines which process billions of dollars. We partner with our customers, so you will meet with them directly to gain direct feedback on your work. Our team and customer are comfortable trying new ideas, so you will test your ideas in the real world.
Bellevue, WA, USA
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- 1+ years of big data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza experience
- 1+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
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