Directly contribute to the design and code of our platformImprove approaches to efficiently handle ever-increasing volumes of data exchanged in real timeLead end-to-end design and implementation of platform componentsMaintain low latency and high success rate of the platform, which directly impacts user experienceTranslate the requirements of our partner teams into concrete projectsContinuously evaluate team's processes to maintain a positive and efficient engineering cultureWho You AreYou have experience working in an environment that supports Machine Learning modeling or its integration into a product.You have experience in working with distributed systems in a production setting.You are familiar with standard software engineering methodology, eg unit testing, code reviews, design documentation.You are familiar with the best practices of system and online service design - eg monitoring and observability, making informed performance trade-offs, maintainability and extensibility, etc.You are interested in working closely with a diverse, multi-functional team you think critically about needs and requirements of customer teams and can distill those findings into concrete projects and platform features.You enjoy working in a collaborative environment and interact effectively with others.You ground your decisions with data and reasoning and can adapt to new information to make informed choices.You bring thoughtful perspectives, empathy, creativity, and a positive attitude to solve problems at scale.
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