Design, build, evaluate, deploy, and iterate on scalable Machine Learning systems. Understand the Machine Learning stack at Apollo and continuously improve it. Build systems that help Apollo personalize users' experience. Evaluate the performance of machine learning systems against business objectives. Develop and maintain scalable data pipelines that power our algorithms. Implement automated monitoring, alerting, self-healing (restartable/graceful failures) features while productionizing data and Machine Learning workflows. Write unit/integration tests and contribute to engineering wiki.
$223,000 to $280,000 per year. 100% Telecommuting is permitted.
To apply: Visit https://www.jobpostingtoday.com/application/82031/apply
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