We are looking for a Senior Applied Scientist (Machine Learning) with a strong academic background and industry experience in the areas of probabilistic machine learning, time series forecasting, and/or anomaly detection
Requirements:
PhD in Computer Science, AI, Mathematics, or Statistics with specialization in ML (alternatively, MSc. and 5+ years in a ML scientist role); Deep knowledge of fundamentals, and the state-of-the art, in relevant areas of ML; 5+ years of hands-on experience in ML research and ML systems; 3+ years of experience, and strong expertise, in any of: - Graph Neural Networks (GNNs), Temporal Graph Networks (TGNs) and/or Graph Deep Learning (GDL); Probabilistic Machine Learning; Causal Machine Learning
Text:
Senior Applied Scientist, Machine Learning and Engineering We are looking for a Senior Applied Scientist (Machine Learning) with a strong academic background and industry experience in the areas of probabilistic machine learning, time series forecasting, and/or anomaly detection PhD in Computer Science, AI, Mathematics, or Statistics with specialization in ML (alternatively, MSc. and 5+ years in a ML scientist role); Deep knowledge of fundamentals, and the state-of-the art, in relevant areas of ML; 5+ years of hands-on experience in ML research and ML systems; 3+ years of experience, and strong expertise, in any of: - Graph Neural Networks (GNNs), Temporal Graph Networks (TGNs) and/or Graph Deep Learning (GDL); Probabilistic Machine Learning; Causal Machine Learning
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