If you are a strong software engineer with a background in scalable distributed systems, who is passionate about working with massive amounts of data to improve the lives of millions of customers, then this is the right opportunity for you.
You will work with a team of highly skilled and motivated engineers and scientists, who are building the next generation of Amazon Cloud Drive products at Amazon, using machine learning and deep learning. As part of your job, you will deal with large amounts of training data, define the models, rapidly prototype new models that meet stringent performance requirements, perform offline and online testing, push these models to production, and define the direction our product, performance, and features take.
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Build scalable, high-performance software for productionalizing recommendations models
Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key features and processes
Establish scalable, efficient, automated processes for large scale data analyses, model development, validation and implementation
Research and use statistical techniques to create scalable solutions for business problems
Work closely with scientists and engineering teams to create and deploy new features
Work closely with business owners to optimize various business operations
Track general business activity and provide clear, compelling management reporting on a regular basis
What you will get from us:
A great team to work with and the chance to build a premier service at an attested top tier company. You will be part of a startup like culture with the stability of an established industry leader. You will get support and resources from some of the smartest people in the industry to continue your personal growth. You will build software that will improve people’s lives.
Basic Qualifications
· Ability to lead and mentor engineers
· Masters (in CS or related field)
· 5+ Years of experience in Software Development
· Experience building high-quality scalable production software
· Familiarity with many development languages: C++, Java, Python, expert in at least one
· Experience with full development life cycle for large-scale software products including experience with service oriented architectures, design patterns, web services, and web applications/services development
Preferred Qualifications
· PhD (in CS or related field).
· 1+ years of experience applying machine learning to solve real-world problems
· Experience working with Spark, Hadoop, and AWS (EMR, EC2, S3, etc…)
· Experience building high-performance computational software
· Experience working with large volumes of real-world noisy data
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