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Uber is seeking engineers to develop machine learning and optimization solutions for rider pricing, discounts, and targeted messaging, with a focus on scalable systems for real-time and offline use.
Required are a bachelor's degree and 3+ years in engineering, plus 2+ years in ML model development. Collaboration across teams to set technical direction and deliver growth is essential.
Develop machine learning and optimization solutions for rider pricing, discounts, promotion targeting, and personalized messaging, and scale systems for real-time and offline use. Collaborate across teams to evolve pricing and serving systems, set technical direction, and deliver measurable growth and revenue outcomes.
Requirements: Requires a bachelor's degree or equivalent in computer science, engineering, mathematics, or a related field, at least three years of full-time engineering experience, and at least two years of machine learning experience building models. Candidates should have object-oriented programming expertise, experience with cross-functional teams and big-data/ETL platforms, and a solid understanding of current machine learning technologies and libraries.
Key Skills: Machine Learning, Machine Learning Models, Optimization, Rider Pricing, Deep Learning, Generative AI, Causal Modeling, Representation Learning, Personalization, Python, Go, Java, C++, Big Data, ETL, Apache Spark
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