Uber
US - California - San Francisco
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Lead the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems. Collaborate with team leads to set the technical direction and provide mentorship to junior engineers.
Requirements: Candidates should have a Ph.D., M.S., or Bachelor's degree in a relevant field and at least 4 years of experience in machine learning and optimization. Proficiency in programming languages and experience with large-scale data systems are also required.
Key Skills: Machine Learning, Deep Learning, Causal Modeling, Reinforcement Learning, Python, Scala, Java, Go, Spark, Ray, Flink, Microservices, MLOps, Mathematical Optimization, Algorithmic Game Theory, Technical Mentorship
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