Machine Learning Engineer - User Fraud
Machine Learning Engineer - User Fraud w/ Spotify USA, Inc. in NY, NY. *Telecommuting permitted: work may be performed w/in normal commuting distance from the Spotify office in NY, NY. Use large scale data to detect unwanted behavior on our platform using machine learning, stat inference, time series analysis & anomaly detection. Bach deg (U.S. or foreign equiv) in Engg (any), Data Analytics, or rel field & 1 yr of exp in the job offered or a rel role. Will accept Bach deg equiv based on single foreign deg, or combin of degs, where determined to be equiv to a US Bach deg by a qualified credential eval service. Must have1 yr of exp w/: Applying machine learning fundamentals incl training Deep Neural Networks on unbalanced data sets as they relate to proper training & eval; Leveraging TensorFlow, Google Cloud AI Products & Kubeflow to train large-scale robust models; Utilizing machine learning models & data sci techniques such as Deep Neural Networks on unbalanced data sets & tools such as TensorFlow, Google Cloud AI Products & Kubeflow as they pertain to user behavior or interaction research. Sal: $158,000-
$237,000/ yr. Qualified Applicants: See full job details & apply online at https://jobs.lever.co/spotify/fcf955eb-
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Required skills
- Machine Learning
- Neural Network