.2+ years of non-internship professional software development experience- programming experience with at least one modern language such as java, c++, or c# including object-oriented design- 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.job summaryabout amazon musicyour software engineering skills can help make that a reality on the amazon music search team.
we are seeking a software engineer who will join a team of experts in the field of machine learning, and work together to break new ground in the world of understanding and classifying different forms of music, and creating interactive experiences to help users find the music they are in the mood for.
we work on machine learning problems for music classification, recommender systems, dialogue systems, nlp, and music information retrieval.you'll work in a collaborative environment where you can pursue ambitious, long-term research, with many peta-bytes of data, work on problems that haven't been solved before, quickly implement and deploy your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers, and publish your research.
you'll see the work you do directly improve the experience of amazon music customers on alexa/echo, mobile, and webkey job responsibilities- build large-scale, multi-tiered, distributed systems, tools, and services using java, python, aws, machine learning and big data.- contribute to the architecture of software development; - assist in gathering and analyzing business and functional requirements, and translate requirements into technical specifications for robust, scalable, supportable solutions that work well within the overall system architecture; - serve as a key technical resource in the full development cycle, end-to-end, from conception, design, implementation and testing to documentation, delivery and maintenance; - produce comprehensive,usable software documentation; - recommend changes in development, maintenance and system standards; about the teamthe mission of the music search relevance (msr) team is to ensure that amazon music search returns the most contextually relevant search results as quickly and seamlessly as possible.
we work closely other amazon music and amazon teams to build systems that delight our customers and build search experiences that help surface relevant content to customers faster and with less friction.
msr provides algorithms and models that power the core music search engine, and surface the right content at the right time and in the right context- 1+ years of recent experience in building machine learning infrastructure, data pipelines to train ml models, etc