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Machine Learning Engineer, Trust and Safety ( remote )


United States

United States



Date Posted:

Apr 26, 2022


• Successful candidates will have a learning mindset, care about problems more than the technique, are self-motivated, and collaborative
• Experience with at least one popular machine learning framework
• Preferably Tensorflow
• Experience with modern machine learning techniques
• Preferably Supervised Learning using Deep Learning, and Anomaly Detection
• Experience with modeling text, and photos data
• Experience with Qualitative/Quantitative analytics at scale
• Preferably using modern tools like Spark
• BS/MS/Ph
• D in Computer Science or related field
• Proficiency in at least one popular programming language
• Preferably Python
• Working knowledge of AWS, Kubernetes, and Docker
• 1+ years of professional experience developing, and deploying ML models

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