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The successful candidate will have a PhD in Computer Science, Statistics, or Engineering with a strong focus on data analysis, machine learning, generative AI or a related field, and 10+ years of practical experience solving complex problems in computer vision, anomaly detection, robotics. or multi-modal classification systems. Manufacturing, packaging and/or logistic experience is a plus, but not a requirement
Key job responsibilities
-Ph.D. degree in Computer Science, Statistics, Machine Learning, or a related field with publications in refereed academic conferences and journals
-10+ years of experience of solving difficult machine learning, optimization, or statistical business problems
-Experience programming in Python, Java, C++ or a related language
-Proven track in leading, mentoring, and growing teams of scientists
-Demonstrated ability to serve as a technical lead
-Excellent writing skills for presenting business cases and scientific models with rigorous analyses that support results/conclusions to influence important decisions.
-Strong fundamentals in problem solving, algorithm design and complexity analysis
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