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As a Software Development Engineer in Machine Learning at Amazon, you will contribute to the technical direction of our offerings and solutions, working with many different technologies across the performance advertising organization. You will design, code, troubleshoot, and support scalable machine-learning pipelines and online serving systems. You will work closely with applied scientists to optimize the performance of machine-learning models and infrastructure, and implement end-to-end solutions. What you create is also what you own.Key job responsibilities
This role requires outstanding programming ability and your technical skills will be stretched while building low-latency, highly scalable, distributed systems to source, rank and qualify ads via ML models for millions of customers. You will contribute to all aspects of the software lifecycle: design, experimentation, implementation and testing. You will succeed in these endeavors by combining your technical experience with your ability to listen to, learn from, and communicate with a diverse group of collaborators.
- 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
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