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eBay

Applied Researcher

eBay monitoring system is processing PB log/day and Million metrics/second nowadays. We aim to improve monitoring to next generation autonomous site operations with machine learning technologies. We focus on using anomaly detection, error predication, root cause analysis to provide insights and guidance to auto-remediation system. This is an excellent place for AI engineer, you would be able to work with an dedicated team to apply the machine learning algorithm on mass of monitoring data.Responsibilities- Lead the direction of algorithm engineering; Evaluate & Investigate on apply new algorithms, define the algorithm measures- Build anomaly detection for multi-pattern site monitoring metrics (WoW)- Develop root cause analysis algorithm to find the insights in tens of thousands of time series metrics- Build predication model to detect disk failure, incident happeningQualifications- Ph.D. or master degree in computer science, statistics,mathematics or related field- Experience in AI-Ops is big plus- Proficient in at least one of the following language Python, Java, R.- Strong analytical and problem-solving skills- Publication record in top AI conferences/journals is a big plus- Good communication and collaboration with engineer background for deliver

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eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected]. We will make every effort to respond to your request for disability assistance as soon as possible.

For more information see: EEO is the Law Poster and EEO is the Law Poster Supplement

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