Uber
US - California - San Francisco
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You will work with a mixed team to build large-scale pricing optimization systems for Uber's rides products. Your role includes building ML models, conducting experiments, and ensuring operational excellence at scale.
Requirements: A PhD in relevant fields with a focus on Machine Learning and 3+ years of experience in an ML role is required. Expertise in deep learning, optimization algorithms, and experience with ML frameworks is essential.
Key Skills: Machine Learning, Deep Learning, Optimization Algorithms, PyTorch, TensorFlow, Data Analysis, Experimentation, Model Development, Python, Java, Go, C++, Communication, Ownership, Time Series Forecasting, Performance Evaluation
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